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Figure 10: Suspicious flow detection comparisons. (a) A comparison for runtimes. Both y-axes scales are logarithmic. (b) A functional comparison for the suspicious flows. Higher coverage with lower number of cases is the desired outcome.
Fig. 10(a) shows how with more hops, the runtime of DBJ* for flagging the flows... | **A**: The results clearly show that by including weights, FaSTM∀for-all\forall∀N is able to improve case coverage from 55% to 70% with nearly the same number of cases..
**B**: In the experiments we also have a version called FaSTM∀for-all\forall∀N-w, where we did not include the weights in the community detection ste... | CBA | CBA | BCA | CBA | Selection 4 |
<|MaskedSetence|> <|MaskedSetence|> (2020),123123123As the basis for my opinion, see Mamta Bisht vs. <|MaskedSetence|> She argued that a third party who had been awarded an SC position should instead be assigned the open category position,
thereby allowing the SC position to be reassigned to the plaintiff. as an eco... | **A**: State of Uttaranchal (2005) at the Uttarakhand High Court,
where the plaintiff successfully challenged an individual’s assignment in the open category indirectly.
**B**: While, in my opinion, such a challenge aligns with Saurav Yadav vs.
**C**: State of U.P.
| BCA | BCA | BCA | ACB | Selection 3 |
<|MaskedSetence|> <|MaskedSetence|> We use these insights to design and discuss experimental investigations of the relationship between knowledge and freedom. <|MaskedSetence|> Section 4 discusses our results. Finally, we conclude.
2 Theoretical framework. | **A**: In Section 3, we present the experimental designs used in our two experiments.
**B**: The remainder of this paper proceeds as follows: in Section 2, we formulate a theory of optimal self-interested paternalism.
**C**: This theory is informed by other authors’ normative and positive conceptions of paternalism. ... | BCA | BCA | BCA | CBA | Selection 2 |
RL was also utilized for feature importance tasks. More precisely, the authors in [30] presented a DRL model combining deep Q-learning (DQL) and particle swarm optimization (PSO), applied to optimize the driving performance of shield tunneling machines. The model was validated using field data from a tunneling project... | **A**: The model used LOB data from diverse real-world sources, where the RL variant dynamically adapted to concept drifts by learning optimal weights for a pool of forecasting models.
**B**: For instance, the authors in [32] proposed a novel RL model combination (RLMC) framework designed to dynamically assign weights... | CAB | CBA | CBA | CBA | Selection 2 |
<|MaskedSetence|> Each year includes approximately 50,000 mortgage records, with each record containing a series of monthly observations. These monthly data points encompass various loan performance indicators, including delinquency status, payment history, and other time-varying attributes.
Since our objective is t... | **A**: To address this, we employ class-weighting and, where appropriate, selective undersampling or oversampling techniques to maintain model sensitivity to minority instances..
**B**:
Our study focuses exclusively on monthly performance data (MPD) covering mortgage loans from 2012 to 2022.
**C**: Although this app... | BCA | BCA | BCA | CBA | Selection 1 |
<|MaskedSetence|> <|MaskedSetence|> <|MaskedSetence|> In all treatments except EndoDelay, four variables were elicited from CAs (injunctive norm, belief, happiness, cap). In EndoDelay, five were elicited (injunctive norm, belief, happiness, cap, when Chooser is to decide). This highlights the minimal nature of our o... | **A**: Because respondents are not easily incentivized through our survey platform, we elicited only unincentivized beliefs.
CAs received standard survey incentives (akin to a flat fee).
Page 2 provided a treatment reminder and allowed CAs to make rules.
**B**: CAs were told that to make no restrictions on the Chooser... | ABC | ACB | ABC | ABC | Selection 1 |
<|MaskedSetence|> (2020) pointed out that transaction costs could significantly deteriorate the performance of machine learning portfolios due to high turnover or extreme positions. Importantly, our dataset contains highly illiquid stocks with extremely small market capitalization. <|MaskedSetence|> <|MaskedSetence|... | **A**: We end this section by a disclaimer noting that the performance of the above portfolios does not take into account any transaction costs, which, when considered, could offset the gains.161616Avramov et al.
**B**: These stocks are thus unlikely to be accessible to investors and may incur significant transaction ... | CAB | ABC | ABC | ABC | Selection 3 |
Ergodicity of these spreads implies long-term stability. <|MaskedSetence|> <|MaskedSetence|> In calm times when the economy is growing and risks are low, such additional risk is low. In turbulent times, financial crises, and economic crashes, such defaults increase, and spreads widen. <|MaskedSetence|> We remind ... | **A**: Corporate bonds might default and refuse to pay coupons or principal in full or in part.
**B**: This is natural from a financial sense: This spread shows how much more interest corporate bonds need to pay to compensate for more risk than long-term Treasury bonds.
**C**: In both cases, the spreads are mean-reve... | CBA | BAC | BAC | BAC | Selection 2 |
RL serves as a pivotal paradigm for training agents to make sequential decisions in dynamic environments, as explained in Sutton and Barto (2018) and recently reviewed in Hambly et al. (2023). Specifically, RL agents interact with their environment, receiving observations of the current state and rewards or penalties ... | **A**: Li et al.
**B**: The Bellman equation is expressed as:
.
**C**: RL’s capacity to balance exploration and exploitation allows it to uncover potentially profitable investment opportunities while minimizing risk.
| CAB | CAB | CAB | ACB | Selection 3 |
However, Figures 1 and 2 reveal that the length of the sample has a powerful effect on the allocation of slots. Naturally, this is the most visible if the ratings are updated only after each World Cup (the bottom panels) when the teams of a given continent can play 10 or even 20 matches with the same Elo, while the FIF... | **A**: Furthermore, the CONMEBOL quota somewhat increases under Seeded set S2 if the sample is finished later.
**B**: A potential remedy can be a lower value for match importance I𝐼Iitalic_I (see Section 4.1), but we have not wanted to arbitrarily modify the official formula.
**C**: Another opportunity is to distrib... | CAB | BCA | BCA | BCA | Selection 2 |
The Japanese daycare market is a regulated and subsidized market, where instead of a flexible price mechanism like the US, users are allocated to each center by a centralized matching mechanism. Children between ages 0 and 5 can attend a daycare center, before starting primary education. There are accredited and non-ac... | **A**: Each municipality runs its own matching mechanism to allocate applicants to accredited centers.
This paper examines data from Bunkyo-ku, a municipality in central Tokyo with a population of over 200,000.
**B**: Prior to the application period, each daycare center reports the number of available seats for five... | ABC | CAB | ABC | ABC | Selection 1 |
<|MaskedSetence|> We present two examples to enhance the understanding of leverage staking. <|MaskedSetence|> The recursive action sequences of (stake, deposit, borrow, stake) are shown in Figure 16. 0xD2…701 invested a principal amount of 5,00050005{,}0005 , 000 ETH. The direct leverage staking results in a total in... | **A**: 0xA1…882 started with a principal investment amount of 766766766766 ETH.
**B**:
Leverage Staking Examples.
**C**: From block 14,617,9061461790614{,}617{,}90614 , 617 , 906 to 14,627,2021462720214{,}627{,}20214 , 627 , 202, a whale wallet address 0xD2…701 executed the direct leverage staking strategy with 9... | BCA | BCA | BCA | CAB | Selection 1 |
2 The Framework for an Individual ESE-Joint Liability Model
We are interested in examining a microcredit lending scenario in which a benevolent lender extends loans to a group of self–selected micro–entrepreneur borrowers who are jointly liable for repayment of the loan. Although each member of the group is given an... | **A**: The lender has to decide on the optimal contract structure, the degree of joint liability, and the level of punishment in the event of a strategic default, while the borrowers have to decide whether to repay or default the loan..
**B**: It is assumed that the group members know the realized output of each proje... | CBA | CBA | CBA | BCA | Selection 2 |
<|MaskedSetence|> First, the amount of parameters which needs to be trained in a random neural network is significantly lower. <|MaskedSetence|> Second, as only the linear readouts are trained, the corresponding optimization problem is convex and thus always admits a minimizer. Third, the least squares method directl... | **A**: Hence, the overall generalization error consists only of the prediction error and can therefore be controlled (see [45, 94]).
.
**B**: As a consequence, their training is significantly faster than deterministic ones.
**C**:
Random neural networks have the following three crucial advantages compared to class... | CBA | CBA | BCA | CBA | Selection 1 |
The literature on the estimation of bid-ask spreads from a time series of displayed prices started with Roll’s estimator, which is based on the empirical covariance of successive price increments [63]. The observable price is considered to be the sum of the mid price, that is the average between the bid and the ask, an... | **A**: All these approaches designed to quantify serial dependence are based on linear models.
**B**: Many alternatives to Roll’s estimator have been proposed since, exploring approaches based on high-low ranges instead of cross moments [28] and refinements related to overnight price movements [1] or infrequent tradin... | BAC | BAC | BAC | CBA | Selection 1 |
In part, the policy iteration will spend notably less computational time than the classical Newton-Raphson method [9] for pricing American-type contracts. The standard stopping criterias from Newton’s method leads to high number of iterations to converge per each discretized time grid. <|MaskedSetence|> <|MaskedSeten... | **A**: For HJB PDEs the policy iteration combined with the penalty iteration is the choice to be solved, see e.g. [3, 7].
**B**: The policy iteration for European type HJB PDEs was revisited and improved in [6] with a newer stopping criterias which led to monotonic and fast convergence using relatively less amount of ... | ABC | BAC | ABC | ABC | Selection 3 |
Practically, the Transition Investment Ratio offers insights into how effectively a company aligns its financial resources with sustainability goals. A higher ratio signifies a greater investment in low-carbon initiatives, leading to long-term cost savings and competitive advantages. For instance, IKEA’s allocation of... | **A**: Future work could build on this framework by incorporating functional relationships between these parameters—such as production costs and selling prices—and the Transition Investment Ratio..
**B**: Additionally, the transition to renewable energy directly impacts carbon emissions, as utilizing solar and wind en... | CBA | CBA | BCA | CBA | Selection 4 |
Note: The table presents the average values of market metrics for all trading days. Trading volume is measured in units of 10,000 lots. The level-1 bid-ask spread is measured in price terms. <|MaskedSetence|> <|MaskedSetence|> <|MaskedSetence|> The annualized volatility is then calculated as the square root of the a... | **A**: To compute realized variance for a day, we sum the 5-minute return variances and multiply the result by 252 to obtain the annualized realized variance.
**B**: The mid-quote change is calculated in the same way as the bid-ask spread and tracks the tick-by-tick changes in asset prices.
**C**: To calculate it, we... | CBA | CBA | CBA | ABC | Selection 1 |
The density plots from Figure 5 illustrate the distribution of average nodal prices in the two zones of the DE2 (k-means) configuration, with the average zonal prices highlighted for comparison. <|MaskedSetence|> <|MaskedSetence|> These variations
lead to regional inequities and distort the zonal price signals, mean... | **A**: The average nodal prices were computed considering all prices from the LMP Study (see Section 4).
**B**: This results in poor local incentives to adapt to energy prices, poor investment incentives, and an inefficient implementation of scarcity pricing (Papavasiliou, 2020).
Furthermore, the distribution for zon... | ACB | BCA | ACB | ACB | Selection 1 |
Zhou (2022b), Jia and Zhou (2023).111The paper Bo
et al. (2024) came to our attention after a previous version of our paper was completed and posted. While this entropy presents an interesting alternative for developing RL algorithms, it may make the exploratory control problem less tractable to solve and lead to polic... | **A**: In Section 2, we discuss the problem formulation.
**B**: In Section 3, we present the theory of q𝑞qitalic_q-learning for jump-diffusions, followed by the discussion of q𝑞qitalic_q-learning algorithms in Section 4.
**C**: In Section 5, we apply the general theory and algorithms to a mean–variance portfolio se... | ABC | ABC | ABC | ABC | Selection 2 |
<|MaskedSetence|> They were chosen for their consistent structure which aids homogenous feature extraction. While most of the content in these filings is comprised of indexing, tables, and introductory text, we’re interested in the parts that offer insights into a company’s future financial health. As such, we’ve focu... | **A**:
3.0.2 SEC filings
This paper uses 10-Q and 10-K filings available in the SEC’s EDGAR database333Filings Database: https://tinyurl.com/3rdn7hrx to provide both textual context.
**B**: We extract the MDA sections from all SEC filings - using the SEC-API444Filings API: https://sec-api.io/ - for which we had cre... | ABC | CBA | ABC | ABC | Selection 4 |
<|MaskedSetence|> For instance, the AI-TraWell project highlights how AI-powered travel assistants can promote personalized, sustainable travel by integrating user feedback and mobility service data to optimize travel routes based on individual preferences. <|MaskedSetence|> In Niepołomice, Poland, the Tele-Bus on-de... | **A**: Similarly, Siemens Mobility’s deployment in Hagen, Germany, optimized traffic light control, reducing intersection waiting times by up to 47%, demonstrating the role of AI in addressing urban congestion.
**B**: These projects collectively highlight the importance of AI adoption and regulatory frameworks as crit... | CAB | CAB | CAB | BCA | Selection 1 |
<|MaskedSetence|> Within this framework, complex investment tasks involving data from different modalities are decomposed into several subtasks, with each fine-tuned expert agent assigned responsibility for a specific subtask. Inspired by the communication methods used in hedge funds, our unique intrateam and intertea... | **A**: Finally, the trading team interacts with cryptocurrency exchange APIs to execute the final portfolio strategy.
**B**: To address the above-mentioned problems and fill in the gap, we propose an explainable, multi-modal, multi-agent framework, which utilizes multiple teams of agents that collaborate both within a... | ABC | BCA | BCA | BCA | Selection 4 |
Previous research has extensively examined various aspects of AMM mechanics. Angeris et al. [AKC+19, AC20] analyzed the theoretical properties and price-tracking capabilities of constant function markets. Evans [Eva21] extended this analysis to G3Ms with variable weights, while others like Fukasawa et al. <|MaskedSete... | **A**: [NTYY24] examined arbitrage-driven price dynamics in fee-based AMMs, providing insights into the relationship between fee structures and market behavior.
.
**B**: Najnudel et al.
**C**: [FMW23b, FMW23a] investigated impermanent loss and hedging strategies.
| CBA | BAC | CBA | CBA | Selection 1 |
<|MaskedSetence|> In contrast, the standard approach for studying nonlinear BSDEs uses fixed-point arguments to establish the (local) existence of the solutions while for the uniqueness, shows the unique trivial solution to the linear BSDEs with bounded coefficients (under Lipschitz assumptions) and a zero terminal co... | **A**: The proof of Theorem 2.2 presents a novel approach that deals with non-Lipschitz structure of the coupled system (8)-(9), while one can find similar attempts in the PDE literature, such as [31, 32, 29, 28].
**B**: Note that the boundedness of its coefficients arises from the properties of the ℳℳ\mathcal{M}calig... | ABC | CAB | ABC | ABC | Selection 1 |
<|MaskedSetence|> Due to the liquidity-bounded loss for the LBAMM, this market is able to trade any measurable payoff structure x∈L∞𝑥superscript𝐿x\in L^{\infty}italic_x ∈ italic_L start_POSTSUPERSCRIPT ∞ end_POSTSUPERSCRIPT. <|MaskedSetence|> It can clearly be seen that these derivative purchases appropriately shif... | **A**: In Figure 3, the price density is plotted under three circumstances: (i) the initial lognormal distribution; (ii) after 50 put options with strike at $1 have been purchased (at an average cost of $0.1103 per contract); and (iii) after 100 put options with strike at $1 have been purchased (at an average cost of $... | BAC | CAB | CAB | CAB | Selection 2 |
Outline
The paper is structured as follows: In Section 2 we set the scene by briefly introducing DRMs, the considered
quantile estimators, and their asymptotic distribution. <|MaskedSetence|> <|MaskedSetence|> Section 4 discusses an application to asset-liability management of an insurance firm. <|MaskedSetence|> T... | **A**: Auxiliary results are collected in an online appendix.
**B**: Section 3 applies the method across various case studies to test its performance.
**C**: The importance sampling method for DRMs is also developed in this section.
| CBA | CBA | CBA | BCA | Selection 3 |
<|MaskedSetence|> <|MaskedSetence|> RCV elections from 2004 to 2023 is displayed in Table 10, which shows the percentage of voting failure occurrences for each BC variation. Some rates use the complete set of 421 elections, but exceptions include the majority winner and loser failure rates, which are taken out of the... | **A**: Likewise, the Condorcet winner rates use the 419 elections that had a Condorcet winner, and BCU’s Condorcet loser rate is based on the 420 elections that had such a candidate (only the Oakland school board election did not).
**B**: RCV elections, where N indicates such a failure is not possible
Our analysis o... | CBA | CBA | CBA | CBA | Selection 4 |
<|MaskedSetence|> <|MaskedSetence|> The MAPEs aggregated over the OPE estimators for both tests are shown in Figure 4.
Observation– Continuous OPE tends to outperform discretized OPE. This is intuitive because continuous OPE can capture the smooth, nuanced dependencies of the key metrics across small changes in pay... | **A**: Both approaches are compared with respect to the Mean Absolute Percentage Error (MAPE) [14] for different metrics in the Test-1 and Test-2 experiments.
**B**:
We need to compare the discretized action space and continuous action space to check how much accuracy we are gaining in terms of different metrics for ... | ACB | BAC | BAC | BAC | Selection 2 |
With the above context of sustainable development, the Millennium Development Goals (MDGs) were framed in September 2000 during the United Nations Millennium Summit. At this summit, world leaders from 189 countries adopted the United Nations Millennium Declaration. <|MaskedSetence|> The idea of the Sustainable Develo... | **A**: The concept of the SDGs emerged after several years of negotiations involving policymakers, NGOs, and experts.
**B**: The primary goal was to establish a set of targets for member nations to address economic, political, and environmental challenges [12].
**C**: The MDGs consisted of eight global development go... | CAB | CAB | CAB | BCA | Selection 3 |
Monte Carlo simulation is particularly suitable for modeling discrete coupon and dividend payments, capturing the realistic dynamics of underlying state variables, and incorporating path-dependent call features. It effectively accounts for path dependencies, such as conditions for early redemption based on stock price ... | **A**: This study utilized the Least Squares Monte Carlo method to address certain pricing issues related to convertible bonds, suggesting that incorporating downward adjustment clauses could enhance pricing accuracy.
.
**B**: With its growth, Li-hong et al., (2010) analyzed the pricing of CCBs using a binary tree met... | CBA | CBA | CBA | CBA | Selection 2 |
<|MaskedSetence|> <|MaskedSetence|> <|MaskedSetence|> One particular source of background risk is the seller’s exposure to financial risks, but it can also include, for instance, geopolitical and social risks, and even pandemic risk.
A prime example is the failure of AIG in 2008, which led to the largest government ... | **A**: The first one is a catastrophic event that results in a large realization of insured losses.
**B**: There are two main contributors to the failure of insurance companies.
**C**: In a recent example, Hurricanes Helene and Milton hit Florida within a two-week period, together causing insured losses estimated bet... | BAC | BAC | ABC | BAC | Selection 2 |
<|MaskedSetence|> On the other hand, implied calibration allows the entire implied volatility smile, not just the At-The-Money (ATM) volatilities, to be represented by the model. <|MaskedSetence|> Thus, the joint historical and implied calibration matches both the correlation between futures and quoted smiles –— a pr... | **A**: Moreover, the proposed implied calibration takes into account potential multiple maturities for a given underlying futures contract.
**B**: One potential difficulty is that implied calibration may affect the historical one, but we will see that this influence is negligible.
**C**: On the one hand, by capturing... | CAB | CAB | CAB | CAB | Selection 1 |
<|MaskedSetence|> When an initial signal occurs, the algorithm executes a long or short trade of size u𝑢uitalic_u. Now, only a breakout signal identifying a reversal of the initial trend will generate an offsetting trade of size 2u2𝑢2u2 italic_u. As a result, the net exposure oscillates between +u𝑢+u+ italic_u and... | **A**: Thus, a signal always represents a moment in time when the multi-scale behavior of a currency pair holds predictive power over how the future will unfold.
.
**B**:
The Delta Engine is unique in that it exclusively trades on contrarian breakout signals.
**C**: Essentially, the Delta Engine enforces a simple ... | BCA | BCA | BCA | ABC | Selection 3 |
The Fourier spot volatility estimator has been shown to achieve the optimal rate of convergence in the presence of noise, see Mancino et al., (2022)666This result is trivially extended to the Fourier spot co-volatility estimator if prices are sampled on a synchronous grid, as it is the case in the empirical applicatio... | **A**: It is worth noting that the Fourier spot co-volatility of volatility estimator does not require the pre-estimation of the spot volatility path but only the computation of integrated quantities, namely the coefficients of the co-volatility.
**B**: The consistency of the Fourier spot volatility of volatility esti... | CBA | CAB | CAB | CAB | Selection 3 |
<|MaskedSetence|> We observe that the effect of the roughness depends on the maturity of the option. For smaller maturities, the price of the option increases with the roughness level.
For the fixed-strike put option prices in Table 1, the option price rises with increasing strike and maturity. <|MaskedSetence|> He... | **A**: In addition to the classical Heston model, we now face a further parameter that has to be taken into account, namely the roughness parameter α𝛼\alphaitalic_α.
**B**: As is also the case for the corresponding call options, only for very large maturities do prices start to decline slightly.
The effect of roughne... | ABC | ABC | BCA | ABC | Selection 4 |
<|MaskedSetence|> <|MaskedSetence|> <|MaskedSetence|> Under the drop-out condition a player exits the market as soon as her portfolio process hits zero. The condition avoids round-trips where players with zero initial position trade the asset to benefit from favorable future market dynamics. Beneficial round-trips a... | **A**:
Finite-player market impact games with and without strict liquidation constraint and transient market impact were studied in, e.g. [35, 41, 42, 43] and more recently by Micheli et al [36] and Neumann and Voß [37]; games with permanent impact were studied in, e.g.
**B**: [12, 18, 23].
Mean-field liquidation g... | ABC | CBA | ABC | ABC | Selection 1 |
The RS generator is the case in which the capital depicts the roughest curve that makes it outperform the random switching protocol during some periods and underperform the latter in others. Actually, for t=104𝑡superscript104t=10^{4}italic_t = 10 start_POSTSUPERSCRIPT 4 end_POSTSUPERSCRIPT it is not possible to disti... | **A**: Bearing in mind that the autocorrelation function of the RS sequence is equal to that of a white noise, this result is understandable.
**B**: Lempel–Ziv measure) shows that the RS sequence is not a purely randomPires and Queirós (2020); Pires, Crokidakis, and Duarte Queirós (2022).
In order to shed further li... | ACB | ACB | CBA | ACB | Selection 4 |
The introduction of the self-attention mechanism [8] has further advanced stock market prediction by allowing models to capture global dependencies. Building on this, transformers have shown remarkable performance in sequence prediction tasks due to their ability to capture complex dependencies across different time s... | **A**: Mamba incorporates a selective scan algorithm, which dynamically focuses on the most relevant portions of the input sequence while filtering out less useful data, thereby optimizing both computation and memory usage.
**B**: Their quadratic complexity in inference can result in high computational costs and memor... | BAC | CBA | CBA | CBA | Selection 4 |
<|MaskedSetence|> However, few studies [10, 11, 12] have covered the methods and techniques to estimate the parameters of the GTS distribution. <|MaskedSetence|> As illustrations, the study used four historical prices: two heavily tailed data (Bitcoin and Ethereum returns) and two peaked data (S&P 500 and SPY ETF ret... | **A**: This study aims to contribute to the literature by providing a methodology for fitting seven-parameter GTS distribution.
**B**: The GTS distribution is fitted to the underlying distribution of each data index and the goodness-of-fit analysis is carried out.
**C**:
The rich class of GTS distribution (1) has a... | ACB | CAB | CAB | CAB | Selection 4 |
Between 2014 and 2018, Abdelrazeq et al. developed theories and results indicating how to develop a model verification for Lévy-driven CAR(1) process [[1], [2], [3]]. Using these results, we develop a step-by-step methodological approach for how these findings can be used to verify the process and test its driving pr... | **A**: To demonstrate the power of the test, we computed the power under one alternative case.
**B**: We then illustrate how to apply the methodology step-by-step to many economic and financial data examples.
**C**:
.
| ABC | ABC | ABC | CBA | Selection 2 |
This task is a critical component of supply chain management, as it facilitates better inventory planning, production scheduling, and overall operational efficiency. <|MaskedSetence|> By leveraging historical demand patterns, seasonal trends, and short-term fluctuations, this task aims to provide accurate demand fore... | **A**: Techniques such as sliding window methods are employed to extract relevant historical features, which are then fed into machine learning models or statistical algorithms.
**B**: As a pivotal component of supply chain analytics, this forecasting task enhances the performance of individual nodes and contributes t... | CAB | CAB | CAB | CAB | Selection 1 |
The introduction of randomization into stochastic control problems is primarily motivated by its applicability in reinforcement learning. <|MaskedSetence|> <|MaskedSetence|> Specifically, we demonstrate how to reduce the randomized LEQG problem to a randomized stochastic LQG game via the energy-entropy duality. We a... | **A**: If the model parameters are updated by some method that we do not explore here, the backward recursion has to be recomputed.
**B**: However, our paper focuses on the foundational modeling steps that precede the development of the reinforcement learning algorithm.
**C**: A possible methodology to implement rein... | CBA | CBA | CAB | CBA | Selection 4 |
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