Towards General-Purpose Model-Free Reinforcement Learning
Paper
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2501.16142
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Published
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30
RL
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DAPO: An Open-Source LLM Reinforcement Learning System at Scale
Paper • 2503.14476 • Published • 128 -
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?
Paper • 2504.13837 • Published • 127 -
Learning to Reason under Off-Policy Guidance
Paper • 2504.14945 • Published • 85 -
ToolRL: Reward is All Tool Learning Needs
Paper • 2504.13958 • Published • 44 -
TTRL: Test-Time Reinforcement Learning
Paper • 2504.16084 • Published • 112 -
Skywork R1V2: Multimodal Hybrid Reinforcement Learning for Reasoning
Paper • 2504.16656 • Published • 57 -
Reinforcement Learning for Reasoning in Large Language Models with One Training Example
Paper • 2504.20571 • Published • 93 -
xVerify: Efficient Answer Verifier for Reasoning Model Evaluations
Paper • 2504.10481 • Published • 84 -
Rethinking Reflection in Pre-Training
Paper • 2504.04022 • Published • 79 -
InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models
Paper • 2504.10479 • Published • 268 -
Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems
Paper • 2504.01990 • Published • 285 -
Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model
Paper • 2503.24290 • Published • 62 -
Distilling LLM Agent into Small Models with Retrieval and Code Tools
Paper • 2505.17612 • Published • 76 -
ARM: Adaptive Reasoning Model
Paper • 2505.20258 • Published • 43