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Collections including paper arxiv:2509.02547

Foundational & Modern AI Research (Curated)

A curated selection of foundational and modern AI research papers that meaningfully influence how real-world AI systems are designed, evaluated, and g

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 121
Scaling Laws for Neural Language Models

Paper • 2001.08361 • Published Jan 23, 2020 • 10
Training Compute-Optimal Large Language Models

Paper • 2203.15556 • Published Mar 29, 2022 • 11
Analogy Generation by Prompting Large Language Models: A Case Study of InstructGPT

Paper • 2210.04186 • Published Oct 9, 2022

Bootstrapping Exploration with Group-Level Natural Language Feedback in Reinforcement Learning

Paper • 2603.04597 • Published Mar 4 • 210
SII-Enigma/Llama3.2-8B-Ins-AMPO

Text Generation • 8B • Updated 30 days ago • 48
Understanding R1-Zero-Like Training: A Critical Perspective

Paper • 2503.20783 • Published Mar 26, 2025 • 59
Planner-R1: Reward Shaping Enables Efficient Agentic RL with Smaller LLMs

Paper • 2509.25779 • Published Sep 30, 2025 • 19

Qwen2 Technical Report

Paper • 2407.10671 • Published Jul 15, 2024 • 171
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2, 2025 • 238
Agent0: Unleashing Self-Evolving Agents from Zero Data via Tool-Integrated Reasoning

Paper • 2511.16043 • Published Nov 20, 2025 • 111

Agent Learning via Early Experience

Paper • 2510.08558 • Published Oct 9, 2025 • 277
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2, 2025 • 238
Scaling Agents via Continual Pre-training

Paper • 2509.13310 • Published Sep 16, 2025 • 117
Agent Lightning: Train ANY AI Agents with Reinforcement Learning

Paper • 2508.03680 • Published Aug 5, 2025 • 140

Continual Learning - VLA

VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model

Paper • 2509.09372 • Published Sep 11, 2025 • 254
VLA-R1: Enhancing Reasoning in Vision-Language-Action Models

Paper • 2510.01623 • Published Oct 2, 2025 • 12
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2, 2025 • 238
WMPO: World Model-based Policy Optimization for Vision-Language-Action Models

Paper • 2511.09515 • Published Nov 12, 2025 • 20

a collection of algorithmic agents for user interfaces/interactions, program synthesis, and robotics

End-to-End Goal-Driven Web Navigation

Paper • 1602.02261 • Published Feb 6, 2016
Learning Language Games through Interaction

Paper • 1606.02447 • Published Jun 8, 2016
Naturalizing a Programming Language via Interactive Learning

Paper • 1704.06956 • Published Apr 23, 2017
Reinforcement Learning on Web Interfaces Using Workflow-Guided Exploration

Paper • 1802.08802 • Published Feb 24, 2018 • 2

Reinforcement Learning

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2, 2025 • 238
Rewarding the Rare: Uniqueness-Aware RL for Creative Problem Solving in LLMs

Paper • 2601.08763 • Published Jan 13 • 150
Transformers in Reinforcement Learning: A Survey

Paper • 2307.05979 • Published Jul 12, 2023 • 1
Comparing DPO with IPO and KTO

Collection

A collection of chat models to explore the differences between three alignment techniques: DPO, IPO, and KTO. • 56 items • Updated Jan 8, 2025 • 32

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2, 2025 • 238
Tongyi DeepResearch Technical Report

Paper • 2510.24701 • Published Oct 28, 2025 • 103
PeterJinGo/SearchR1-nq_hotpotqa_train-qwen2.5-3b-em-ppo-v0.3

3B • Updated May 21, 2025 • 936
PeterJinGo/SearchR1-nq_hotpotqa_train-qwen2.5-3b-em-grpo-v0.3

3B • Updated May 21, 2025 • 321 • 1

Agent Learning via Early Experience

Paper • 2510.08558 • Published Oct 9, 2025 • 277
Learning on the Job: An Experience-Driven Self-Evolving Agent for Long-Horizon Tasks

Paper • 2510.08002 • Published Oct 9, 2025 • 24
Self-Improving LLM Agents at Test-Time

Paper • 2510.07841 • Published Oct 9, 2025 • 10
The Denario project: Deep knowledge AI agents for scientific discovery

Paper • 2510.26887 • Published Oct 30, 2025 • 8

survey : agents

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2, 2025 • 238
A Survey of Scientific Large Language Models: From Data Foundations to Agent Frontiers

Paper • 2508.21148 • Published Aug 28, 2025 • 142

Foundational & Modern AI Research (Curated)

A curated selection of foundational and modern AI research papers that meaningfully influence how real-world AI systems are designed, evaluated, and g

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 121
Scaling Laws for Neural Language Models

Paper • 2001.08361 • Published Jan 23, 2020 • 10
Training Compute-Optimal Large Language Models

Paper • 2203.15556 • Published Mar 29, 2022 • 11
Analogy Generation by Prompting Large Language Models: A Case Study of InstructGPT

Paper • 2210.04186 • Published Oct 9, 2022

a collection of algorithmic agents for user interfaces/interactions, program synthesis, and robotics

End-to-End Goal-Driven Web Navigation

Paper • 1602.02261 • Published Feb 6, 2016
Learning Language Games through Interaction

Paper • 1606.02447 • Published Jun 8, 2016
Naturalizing a Programming Language via Interactive Learning

Paper • 1704.06956 • Published Apr 23, 2017
Reinforcement Learning on Web Interfaces Using Workflow-Guided Exploration

Paper • 1802.08802 • Published Feb 24, 2018 • 2

Bootstrapping Exploration with Group-Level Natural Language Feedback in Reinforcement Learning

Paper • 2603.04597 • Published Mar 4 • 210
SII-Enigma/Llama3.2-8B-Ins-AMPO

Text Generation • 8B • Updated 30 days ago • 48
Understanding R1-Zero-Like Training: A Critical Perspective

Paper • 2503.20783 • Published Mar 26, 2025 • 59
Planner-R1: Reward Shaping Enables Efficient Agentic RL with Smaller LLMs

Paper • 2509.25779 • Published Sep 30, 2025 • 19

Reinforcement Learning

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2, 2025 • 238
Rewarding the Rare: Uniqueness-Aware RL for Creative Problem Solving in LLMs

Paper • 2601.08763 • Published Jan 13 • 150
Transformers in Reinforcement Learning: A Survey

Paper • 2307.05979 • Published Jul 12, 2023 • 1
Comparing DPO with IPO and KTO

Collection

A collection of chat models to explore the differences between three alignment techniques: DPO, IPO, and KTO. • 56 items • Updated Jan 8, 2025 • 32

Qwen2 Technical Report

Paper • 2407.10671 • Published Jul 15, 2024 • 171
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2, 2025 • 238
Agent0: Unleashing Self-Evolving Agents from Zero Data via Tool-Integrated Reasoning

Paper • 2511.16043 • Published Nov 20, 2025 • 111

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2, 2025 • 238
Tongyi DeepResearch Technical Report

Paper • 2510.24701 • Published Oct 28, 2025 • 103
PeterJinGo/SearchR1-nq_hotpotqa_train-qwen2.5-3b-em-ppo-v0.3

3B • Updated May 21, 2025 • 936
PeterJinGo/SearchR1-nq_hotpotqa_train-qwen2.5-3b-em-grpo-v0.3

3B • Updated May 21, 2025 • 321 • 1

Agent Learning via Early Experience

Paper • 2510.08558 • Published Oct 9, 2025 • 277
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2, 2025 • 238
Scaling Agents via Continual Pre-training

Paper • 2509.13310 • Published Sep 16, 2025 • 117
Agent Lightning: Train ANY AI Agents with Reinforcement Learning

Paper • 2508.03680 • Published Aug 5, 2025 • 140

Agent Learning via Early Experience

Paper • 2510.08558 • Published Oct 9, 2025 • 277
Learning on the Job: An Experience-Driven Self-Evolving Agent for Long-Horizon Tasks

Paper • 2510.08002 • Published Oct 9, 2025 • 24
Self-Improving LLM Agents at Test-Time

Paper • 2510.07841 • Published Oct 9, 2025 • 10
The Denario project: Deep knowledge AI agents for scientific discovery

Paper • 2510.26887 • Published Oct 30, 2025 • 8

Continual Learning - VLA

VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model

Paper • 2509.09372 • Published Sep 11, 2025 • 254
VLA-R1: Enhancing Reasoning in Vision-Language-Action Models

Paper • 2510.01623 • Published Oct 2, 2025 • 12
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2, 2025 • 238
WMPO: World Model-based Policy Optimization for Vision-Language-Action Models

Paper • 2511.09515 • Published Nov 12, 2025 • 20

survey : agents

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2, 2025 • 238
A Survey of Scientific Large Language Models: From Data Foundations to Agent Frontiers

Paper • 2508.21148 • Published Aug 28, 2025 • 142

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