Low-probability Tokens Sustain Exploration in Reinforcement Learning with Verifiable Reward
Paper
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2510.03222
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Published
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75
LLM papers
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In-the-Flow Agentic System Optimization for Effective Planning and Tool Use
Paper • 2510.05592 • Published • 106 -
Less is More: Recursive Reasoning with Tiny Networks
Paper • 2510.04871 • Published • 501 -
Multi-Agent Tool-Integrated Policy Optimization
Paper • 2510.04678 • Published • 30 -
EPO: Entropy-regularized Policy Optimization for LLM Agents Reinforcement Learning
Paper • 2509.22576 • Published • 134 -
A Survey of Reinforcement Learning for Large Reasoning Models
Paper • 2509.08827 • Published • 190 -
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 • 89 -
Agentic Entropy-Balanced Policy Optimization
Paper • 2510.14545 • Published • 104 -
Dyna-Mind: Learning to Simulate from Experience for Better AI Agents
Paper • 2510.09577 • Published • 7 -
Can LLMs Guide Their Own Exploration? Gradient-Guided Reinforcement Learning for LLM Reasoning
Paper • 2512.15687 • Published • 18 -
Nemotron-Cascade: Scaling Cascaded Reinforcement Learning for General-Purpose Reasoning Models
Paper • 2512.13607 • Published • 29 -
Adaptation of Agentic AI
Paper • 2512.16301 • Published • 99 -
SAGE: Training Smart Any-Horizon Agents for Long Video Reasoning with Reinforcement Learning
Paper • 2512.13874 • Published • 16 -
Recursive Language Models
Paper • 2512.24601 • Published • 28