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Collections including paper arxiv:2510.03222

Implicit Actor Critic Coupling via a Supervised Learning Framework for RLVR

Paper • 2509.02522 • Published Sep 2 • 25
RLVR-World: Training World Models with Reinforcement Learning

Paper • 2505.13934 • Published May 20 • 16
Agent-RLVR: Training Software Engineering Agents via Guidance and Environment Rewards

Paper • 2506.11425 • Published Jun 13
The Invisible Leash: Why RLVR May Not Escape Its Origin

Paper • 2507.14843 • Published Jul 20 • 85

about 17 hours ago

Meta-Awareness Enhances Reasoning Models: Self-Alignment Reinforcement Learning

Paper • 2510.03259 • Published Sep 26 • 57
Hybrid Reinforcement: When Reward Is Sparse, It's Better to Be Dense

Paper • 2510.07242 • Published Oct 8 • 30
First Try Matters: Revisiting the Role of Reflection in Reasoning Models

Paper • 2510.08308 • Published Oct 9 • 24
Low-probability Tokens Sustain Exploration in Reinforcement Learning with Verifiable Reward

Paper • 2510.03222 • Published Oct 3 • 75

Open Data Synthesis For Deep Research

Paper • 2509.00375 • Published Aug 30 • 70
Beyond Correctness: Harmonizing Process and Outcome Rewards through RL Training

Paper • 2509.03403 • Published Sep 3 • 22
LMEnt: A Suite for Analyzing Knowledge in Language Models from Pretraining Data to Representations

Paper • 2509.03405 • Published Sep 3 • 23
SATQuest: A Verifier for Logical Reasoning Evaluation and Reinforcement Fine-Tuning of LLMs

Paper • 2509.00930 • Published Aug 31 • 4

Reinforcement learning

about 8 hours ago

Diffusion Augmented Agents: A Framework for Efficient Exploration and Transfer Learning

Paper • 2407.20798 • Published Jul 30, 2024 • 24
Offline Reinforcement Learning for LLM Multi-Step Reasoning

Paper • 2412.16145 • Published Dec 20, 2024 • 38
REINFORCE++: A Simple and Efficient Approach for Aligning Large Language Models

Paper • 2501.03262 • Published Jan 4 • 103
SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution

Paper • 2502.18449 • Published Feb 25 • 75

Low-probability Tokens Sustain Exploration in Reinforcement Learning with Verifiable Reward

Paper • 2510.03222 • Published Oct 3 • 75
In-the-Flow Agentic System Optimization for Effective Planning and Tool Use

Paper • 2510.05592 • Published Oct 7 • 105
Less is More: Recursive Reasoning with Tiny Networks

Paper • 2510.04871 • Published Oct 6 • 496
Multi-Agent Tool-Integrated Policy Optimization

Paper • 2510.04678 • Published Oct 6 • 30

BroRL: Scaling Reinforcement Learning via Broadened Exploration

Paper • 2510.01180 • Published Oct 1 • 18
MITS: Enhanced Tree Search Reasoning for LLMs via Pointwise Mutual Information

Paper • 2510.03632 • Published Oct 4 • 41
Knapsack RL: Unlocking Exploration of LLMs via Optimizing Budget Allocation

Paper • 2509.25849 • Published Sep 30 • 47
Beyond the Exploration-Exploitation Trade-off: A Hidden State Approach for LLM Reasoning in RLVR

Paper • 2509.23808 • Published Sep 28 • 47

about 2 hours ago

lusxvr/nanoVLM-222M

Image-Text-to-Text • 0.2B • Updated May 8 • 526 • 98
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Paper • 2503.09516 • Published Mar 12 • 36
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time

Paper • 2505.24863 • Published May 30 • 97
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning

Paper • 2505.17667 • Published May 23 • 88

Implicit Actor Critic Coupling via a Supervised Learning Framework for RLVR

Paper • 2509.02522 • Published Sep 2 • 25
RLVR-World: Training World Models with Reinforcement Learning

Paper • 2505.13934 • Published May 20 • 16
Agent-RLVR: Training Software Engineering Agents via Guidance and Environment Rewards

Paper • 2506.11425 • Published Jun 13
The Invisible Leash: Why RLVR May Not Escape Its Origin

Paper • 2507.14843 • Published Jul 20 • 85

Low-probability Tokens Sustain Exploration in Reinforcement Learning with Verifiable Reward

Paper • 2510.03222 • Published Oct 3 • 75
In-the-Flow Agentic System Optimization for Effective Planning and Tool Use

Paper • 2510.05592 • Published Oct 7 • 105
Less is More: Recursive Reasoning with Tiny Networks

Paper • 2510.04871 • Published Oct 6 • 496
Multi-Agent Tool-Integrated Policy Optimization

Paper • 2510.04678 • Published Oct 6 • 30

about 17 hours ago

Meta-Awareness Enhances Reasoning Models: Self-Alignment Reinforcement Learning

Paper • 2510.03259 • Published Sep 26 • 57
Hybrid Reinforcement: When Reward Is Sparse, It's Better to Be Dense

Paper • 2510.07242 • Published Oct 8 • 30
First Try Matters: Revisiting the Role of Reflection in Reasoning Models

Paper • 2510.08308 • Published Oct 9 • 24
Low-probability Tokens Sustain Exploration in Reinforcement Learning with Verifiable Reward

Paper • 2510.03222 • Published Oct 3 • 75

BroRL: Scaling Reinforcement Learning via Broadened Exploration

Paper • 2510.01180 • Published Oct 1 • 18
MITS: Enhanced Tree Search Reasoning for LLMs via Pointwise Mutual Information

Paper • 2510.03632 • Published Oct 4 • 41
Knapsack RL: Unlocking Exploration of LLMs via Optimizing Budget Allocation

Paper • 2509.25849 • Published Sep 30 • 47
Beyond the Exploration-Exploitation Trade-off: A Hidden State Approach for LLM Reasoning in RLVR

Paper • 2509.23808 • Published Sep 28 • 47

Open Data Synthesis For Deep Research

Paper • 2509.00375 • Published Aug 30 • 70
Beyond Correctness: Harmonizing Process and Outcome Rewards through RL Training

Paper • 2509.03403 • Published Sep 3 • 22
LMEnt: A Suite for Analyzing Knowledge in Language Models from Pretraining Data to Representations

Paper • 2509.03405 • Published Sep 3 • 23
SATQuest: A Verifier for Logical Reasoning Evaluation and Reinforcement Fine-Tuning of LLMs

Paper • 2509.00930 • Published Aug 31 • 4

about 2 hours ago

lusxvr/nanoVLM-222M

Image-Text-to-Text • 0.2B • Updated May 8 • 526 • 98
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Paper • 2503.09516 • Published Mar 12 • 36
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time

Paper • 2505.24863 • Published May 30 • 97
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning

Paper • 2505.17667 • Published May 23 • 88

Reinforcement learning

about 8 hours ago

Diffusion Augmented Agents: A Framework for Efficient Exploration and Transfer Learning

Paper • 2407.20798 • Published Jul 30, 2024 • 24
Offline Reinforcement Learning for LLM Multi-Step Reasoning

Paper • 2412.16145 • Published Dec 20, 2024 • 38
REINFORCE++: A Simple and Efficient Approach for Aligning Large Language Models

Paper • 2501.03262 • Published Jan 4 • 103
SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution

Paper • 2502.18449 • Published Feb 25 • 75

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