Low-probability Tokens Sustain Exploration in Reinforcement Learning with Verifiable Reward
Paper • 2510.03222 • Published • 76
LLM papers
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In-the-Flow Agentic System Optimization for Effective Planning and Tool Use
Paper • 2510.05592 • Published • 110 -
Less is More: Recursive Reasoning with Tiny Networks
Paper • 2510.04871 • Published • 513 -
Multi-Agent Tool-Integrated Policy Optimization
Paper • 2510.04678 • Published • 31 -
EPO: Entropy-regularized Policy Optimization for LLM Agents Reinforcement Learning
Paper • 2509.22576 • Published • 137 -
A Survey of Reinforcement Learning for Large Reasoning Models
Paper • 2509.08827 • Published • 193 -
AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcement Learning
Paper • 2509.08755 • Published • 56 -
GEM: A Gym for Agentic LLMs
Paper • 2510.01051 • Published • 91 -
Agentic Entropy-Balanced Policy Optimization
Paper • 2510.14545 • Published • 108 -
Dyna-Mind: Learning to Simulate from Experience for Better AI Agents
Paper • 2510.09577 • Published • 8 -
Can LLMs Guide Their Own Exploration? Gradient-Guided Reinforcement Learning for LLM Reasoning
Paper • 2512.15687 • Published • 22 -
Nemotron-Cascade: Scaling Cascaded Reinforcement Learning for General-Purpose Reasoning Models
Paper • 2512.13607 • Published • 38 -
Adaptation of Agentic AI
Paper • 2512.16301 • Published • 108 -
SAGE: Training Smart Any-Horizon Agents for Long Video Reasoning with Reinforcement Learning
Paper • 2512.13874 • Published • 17 -
Recursive Language Models
Paper • 2512.24601 • Published • 94 -
Token-Level LLM Collaboration via FusionRoute
Paper • 2601.05106 • Published • 40 -
Collaborative Multi-Agent Test-Time Reinforcement Learning for Reasoning
Paper • 2601.09667 • Published • 93 -
The Flexibility Trap: Why Arbitrary Order Limits Reasoning Potential in Diffusion Language Models
Paper • 2601.15165 • Published • 73 -
Behavior Knowledge Merge in Reinforced Agentic Models
Paper • 2601.13572 • Published • 27 -
Learning to Discover at Test Time
Paper • 2601.16175 • Published • 44 -
Endless Terminals: Scaling RL Environments for Terminal Agents
Paper • 2601.16443 • Published • 18 -
Teaching Models to Teach Themselves: Reasoning at the Edge of Learnability
Paper • 2601.18778 • Published • 42 -
Linear representations in language models can change dramatically over a conversation
Paper • 2601.20834 • Published • 21 -
Self-Distillation Enables Continual Learning
Paper • 2601.19897 • Published • 27 -
RLAnything: Forge Environment, Policy, and Reward Model in Completely Dynamic RL System
Paper • 2602.02488 • Published • 36 -
Self-Hinting Language Models Enhance Reinforcement Learning
Paper • 2602.03143 • Published • 31 -
Experiential Reinforcement Learning
Paper • 2602.13949 • Published • 72 -
Multi-agent cooperation through in-context co-player inference
Paper • 2602.16301 • Published • 24 -
EgoPush: Learning End-to-End Egocentric Multi-Object Rearrangement for Mobile Robots
Paper • 2602.18071 • Published • 22 -
Beyond Language Modeling: An Exploration of Multimodal Pretraining
Paper • 2603.03276 • Published • 103 -
Emergent Social Intelligence Risks in Generative Multi-Agent Systems
Paper • 2603.27771 • Published • 50 -
The Latent Space: Foundation, Evolution, Mechanism, Ability, and Outlook
Paper • 2604.02029 • Published • 137 -
Memory Intelligence Agent
Paper • 2604.04503 • Published • 51 -
OpenWorldLib: A Unified Codebase and Definition of Advanced World Models
Paper • 2604.04707 • Published • 198 -
Claw-Eval: Toward Trustworthy Evaluation of Autonomous Agents
Paper • 2604.06132 • Published • 110 -
How Well Do Agentic Skills Work in the Wild: Benchmarking LLM Skill Usage in Realistic Settings
Paper • 2604.04323 • Published • 37 -
SkillClaw: Let Skills Evolve Collectively with Agentic Evolver
Paper • 2604.08377 • Published • 256 -
Qualixar OS: A Universal Operating System for AI Agent Orchestration
Paper • 2604.06392 • Published • 11