-
Diffusion Augmented Agents: A Framework for Efficient Exploration and Transfer Learning
Paper • 2407.20798 • Published • 24 -
Offline Reinforcement Learning for LLM Multi-Step Reasoning
Paper • 2412.16145 • Published • 38 -
REINFORCE++: A Simple and Efficient Approach for Aligning Large Language Models
Paper • 2501.03262 • Published • 102 -
SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution
Paper • 2502.18449 • Published • 75
Collections
Discover the best community collections!
Collections including paper arxiv:2510.14545
-
Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL
Paper • 2508.13167 • Published • 128 -
Stabilizing Reinforcement Learning with LLMs: Formulation and Practices
Paper • 2512.01374 • Published • 109 -
Agent0: Unleashing Self-Evolving Agents from Zero Data via Tool-Integrated Reasoning
Paper • 2511.16043 • Published • 110 -
Agentic Entropy-Balanced Policy Optimization
Paper • 2510.14545 • Published • 109
-
Agentic Entropy-Balanced Policy Optimization
Paper • 2510.14545 • Published • 109 -
dongguanting/Qwen3-8B-AEPO-DeepSearch
Text Generation • 8B • Updated • 24 • • 2 -
dongguanting/QwQ-32B-AEPO-DeepSearch
Text Generation • 33B • Updated • 23 • 2 -
dongguanting/Qwen3-14B-AEPO-DeepSearch
Robotics • 15B • Updated • 18 • 1
-
FlowRL: Matching Reward Distributions for LLM Reasoning
Paper • 2509.15207 • Published • 119 -
Kwaipilot/KAT-Dev-72B-Exp
Text Generation • 73B • Updated • 307 • • 158 -
Agentic Entropy-Balanced Policy Optimization
Paper • 2510.14545 • Published • 109 -
Multi-Agent Deep Research: Training Multi-Agent Systems with M-GRPO
Paper • 2511.13288 • Published • 19
-
RL + Transformer = A General-Purpose Problem Solver
Paper • 2501.14176 • Published • 28 -
Towards General-Purpose Model-Free Reinforcement Learning
Paper • 2501.16142 • Published • 31 -
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training
Paper • 2501.17161 • Published • 127 -
MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization
Paper • 2412.12098 • Published • 4
-
SINQ: Sinkhorn-Normalized Quantization for Calibration-Free Low-Precision LLM Weights
Paper • 2509.22944 • Published • 81 -
Robot Learning: A Tutorial
Paper • 2510.12403 • Published • 146 -
UniMoE-Audio: Unified Speech and Music Generation with Dynamic-Capacity MoE
Paper • 2510.13344 • Published • 65 -
Lumina-DiMOO: An Omni Diffusion Large Language Model for Multi-Modal Generation and Understanding
Paper • 2510.06308 • Published • 55
-
Low-probability Tokens Sustain Exploration in Reinforcement Learning with Verifiable Reward
Paper • 2510.03222 • Published • 76 -
In-the-Flow Agentic System Optimization for Effective Planning and Tool Use
Paper • 2510.05592 • Published • 113 -
Less is More: Recursive Reasoning with Tiny Networks
Paper • 2510.04871 • Published • 522 -
Multi-Agent Tool-Integrated Policy Optimization
Paper • 2510.04678 • Published • 31
-
Demystifying Reinforcement Learning in Agentic Reasoning
Paper • 2510.11701 • Published • 33 -
Self-Improving LLM Agents at Test-Time
Paper • 2510.07841 • Published • 10 -
Making Mathematical Reasoning Adaptive
Paper • 2510.04617 • Published • 23 -
DocReward: A Document Reward Model for Structuring and Stylizing
Paper • 2510.11391 • Published • 27
-
REINFORCE++: A Simple and Efficient Approach for Aligning Large Language Models
Paper • 2501.03262 • Published • 102 -
Agentic Entropy-Balanced Policy Optimization
Paper • 2510.14545 • Published • 109 -
BAPO: Stabilizing Off-Policy Reinforcement Learning for LLMs via Balanced Policy Optimization with Adaptive Clipping
Paper • 2510.18927 • Published • 86
-
Diffusion Augmented Agents: A Framework for Efficient Exploration and Transfer Learning
Paper • 2407.20798 • Published • 24 -
Offline Reinforcement Learning for LLM Multi-Step Reasoning
Paper • 2412.16145 • Published • 38 -
REINFORCE++: A Simple and Efficient Approach for Aligning Large Language Models
Paper • 2501.03262 • Published • 102 -
SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution
Paper • 2502.18449 • Published • 75
-
RL + Transformer = A General-Purpose Problem Solver
Paper • 2501.14176 • Published • 28 -
Towards General-Purpose Model-Free Reinforcement Learning
Paper • 2501.16142 • Published • 31 -
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training
Paper • 2501.17161 • Published • 127 -
MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization
Paper • 2412.12098 • Published • 4
-
Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL
Paper • 2508.13167 • Published • 128 -
Stabilizing Reinforcement Learning with LLMs: Formulation and Practices
Paper • 2512.01374 • Published • 109 -
Agent0: Unleashing Self-Evolving Agents from Zero Data via Tool-Integrated Reasoning
Paper • 2511.16043 • Published • 110 -
Agentic Entropy-Balanced Policy Optimization
Paper • 2510.14545 • Published • 109
-
SINQ: Sinkhorn-Normalized Quantization for Calibration-Free Low-Precision LLM Weights
Paper • 2509.22944 • Published • 81 -
Robot Learning: A Tutorial
Paper • 2510.12403 • Published • 146 -
UniMoE-Audio: Unified Speech and Music Generation with Dynamic-Capacity MoE
Paper • 2510.13344 • Published • 65 -
Lumina-DiMOO: An Omni Diffusion Large Language Model for Multi-Modal Generation and Understanding
Paper • 2510.06308 • Published • 55
-
Low-probability Tokens Sustain Exploration in Reinforcement Learning with Verifiable Reward
Paper • 2510.03222 • Published • 76 -
In-the-Flow Agentic System Optimization for Effective Planning and Tool Use
Paper • 2510.05592 • Published • 113 -
Less is More: Recursive Reasoning with Tiny Networks
Paper • 2510.04871 • Published • 522 -
Multi-Agent Tool-Integrated Policy Optimization
Paper • 2510.04678 • Published • 31
-
Agentic Entropy-Balanced Policy Optimization
Paper • 2510.14545 • Published • 109 -
dongguanting/Qwen3-8B-AEPO-DeepSearch
Text Generation • 8B • Updated • 24 • • 2 -
dongguanting/QwQ-32B-AEPO-DeepSearch
Text Generation • 33B • Updated • 23 • 2 -
dongguanting/Qwen3-14B-AEPO-DeepSearch
Robotics • 15B • Updated • 18 • 1
-
Demystifying Reinforcement Learning in Agentic Reasoning
Paper • 2510.11701 • Published • 33 -
Self-Improving LLM Agents at Test-Time
Paper • 2510.07841 • Published • 10 -
Making Mathematical Reasoning Adaptive
Paper • 2510.04617 • Published • 23 -
DocReward: A Document Reward Model for Structuring and Stylizing
Paper • 2510.11391 • Published • 27
-
FlowRL: Matching Reward Distributions for LLM Reasoning
Paper • 2509.15207 • Published • 119 -
Kwaipilot/KAT-Dev-72B-Exp
Text Generation • 73B • Updated • 307 • • 158 -
Agentic Entropy-Balanced Policy Optimization
Paper • 2510.14545 • Published • 109 -
Multi-Agent Deep Research: Training Multi-Agent Systems with M-GRPO
Paper • 2511.13288 • Published • 19
-
REINFORCE++: A Simple and Efficient Approach for Aligning Large Language Models
Paper • 2501.03262 • Published • 102 -
Agentic Entropy-Balanced Policy Optimization
Paper • 2510.14545 • Published • 109 -
BAPO: Stabilizing Off-Policy Reinforcement Learning for LLMs via Balanced Policy Optimization with Adaptive Clipping
Paper • 2510.18927 • Published • 86