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Collections including paper arxiv:2509.25849

RL+reason model

RL + Transformer = A General-Purpose Problem Solver

Paper • 2501.14176 • Published Jan 24 • 28
Towards General-Purpose Model-Free Reinforcement Learning

Paper • 2501.16142 • Published Jan 27 • 30
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Paper • 2501.17161 • Published Jan 28 • 122
MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization

Paper • 2412.12098 • Published Dec 16, 2024 • 4

BroRL: Scaling Reinforcement Learning via Broadened Exploration

Paper • 2510.01180 • Published 17 days ago • 17
MITS: Enhanced Tree Search Reasoning for LLMs via Pointwise Mutual Information

Paper • 2510.03632 • Published 14 days ago • 39
Knapsack RL: Unlocking Exploration of LLMs via Optimizing Budget Allocation

Paper • 2509.25849 • Published 18 days ago • 46
Beyond the Exploration-Exploitation Trade-off: A Hidden State Approach for LLM Reasoning in RLVR

Paper • 2509.23808 • Published 20 days ago • 47

Learn the Ropes, Then Trust the Wins: Self-imitation with Progressive Exploration for Agentic Reinforcement Learning

Paper • 2509.22601 • Published 22 days ago • 29
Knapsack RL: Unlocking Exploration of LLMs via Optimizing Budget Allocation

Paper • 2509.25849 • Published 18 days ago • 46
GEM: A Gym for Agentic LLMs

Paper • 2510.01051 • Published 17 days ago • 84
Reinforce-Ada: An Adaptive Sampling Framework for Reinforce-Style LLM Training

Paper • 2510.04996 • Published 12 days ago • 15

Towards General Agentic Intelligence via Environment Scaling

Paper • 2509.13311 • Published Sep 16 • 69
Tree Search for LLM Agent Reinforcement Learning

Paper • 2509.21240 • Published 23 days ago • 86
Knapsack RL: Unlocking Exploration of LLMs via Optimizing Budget Allocation

Paper • 2509.25849 • Published 18 days ago • 46
Attention as a Compass: Efficient Exploration for Process-Supervised RL in Reasoning Models

Paper • 2509.26628 • Published 18 days ago • 12

Provable Benefits of In-Tool Learning for Large Language Models

Paper • 2508.20755 • Published Aug 28 • 11
MCP-Bench: Benchmarking Tool-Using LLM Agents with Complex Real-World Tasks via MCP Servers

Paper • 2508.20453 • Published Aug 28 • 63
How Can Input Reformulation Improve Tool Usage Accuracy in a Complex Dynamic Environment? A Study on τ-bench

Paper • 2508.20931 • Published Aug 28 • 15
AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcement Learning

Paper • 2509.08755 • Published Sep 10 • 55

Reinforcement learning

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 • 102
SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution

Paper • 2502.18449 • Published Feb 25 • 75

Knapsack RL: Unlocking Exploration of LLMs via Optimizing Budget Allocation

Paper • 2509.25849 • Published 18 days ago • 46

THOR: Tool-Integrated Hierarchical Optimization via RL for Mathematical Reasoning

Paper • 2509.13761 • Published Sep 17 • 16
Knapsack RL: Unlocking Exploration of LLMs via Optimizing Budget Allocation

Paper • 2509.25849 • Published 18 days ago • 46
Reactive Transformer (RxT) -- Stateful Real-Time Processing for Event-Driven Reactive Language Models

Paper • 2510.03561 • Published 14 days ago • 23
Less is More: Recursive Reasoning with Tiny Networks

Paper • 2510.04871 • Published 12 days ago • 398

about 21 hours ago

Open Data Synthesis For Deep Research

Paper • 2509.00375 • Published Aug 30 • 68
Beyond Correctness: Harmonizing Process and Outcome Rewards through RL Training

Paper • 2509.03403 • Published Sep 3 • 21
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

From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review

Paper • 2504.19678 • Published Apr 28 • 3
DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search

Paper • 2509.25454 • Published 18 days ago • 130
Knapsack RL: Unlocking Exploration of LLMs via Optimizing Budget Allocation

Paper • 2509.25849 • Published 18 days ago • 46

RL+reason model

RL + Transformer = A General-Purpose Problem Solver

Paper • 2501.14176 • Published Jan 24 • 28
Towards General-Purpose Model-Free Reinforcement Learning

Paper • 2501.16142 • Published Jan 27 • 30
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Paper • 2501.17161 • Published Jan 28 • 122
MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization

Paper • 2412.12098 • Published Dec 16, 2024 • 4

Reinforcement learning

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 • 102
SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution

Paper • 2502.18449 • Published Feb 25 • 75

BroRL: Scaling Reinforcement Learning via Broadened Exploration

Paper • 2510.01180 • Published 17 days ago • 17
MITS: Enhanced Tree Search Reasoning for LLMs via Pointwise Mutual Information

Paper • 2510.03632 • Published 14 days ago • 39
Knapsack RL: Unlocking Exploration of LLMs via Optimizing Budget Allocation

Paper • 2509.25849 • Published 18 days ago • 46
Beyond the Exploration-Exploitation Trade-off: A Hidden State Approach for LLM Reasoning in RLVR

Paper • 2509.23808 • Published 20 days ago • 47

Knapsack RL: Unlocking Exploration of LLMs via Optimizing Budget Allocation

Paper • 2509.25849 • Published 18 days ago • 46

Learn the Ropes, Then Trust the Wins: Self-imitation with Progressive Exploration for Agentic Reinforcement Learning

Paper • 2509.22601 • Published 22 days ago • 29
Knapsack RL: Unlocking Exploration of LLMs via Optimizing Budget Allocation

Paper • 2509.25849 • Published 18 days ago • 46
GEM: A Gym for Agentic LLMs

Paper • 2510.01051 • Published 17 days ago • 84
Reinforce-Ada: An Adaptive Sampling Framework for Reinforce-Style LLM Training

Paper • 2510.04996 • Published 12 days ago • 15

THOR: Tool-Integrated Hierarchical Optimization via RL for Mathematical Reasoning

Paper • 2509.13761 • Published Sep 17 • 16
Knapsack RL: Unlocking Exploration of LLMs via Optimizing Budget Allocation

Paper • 2509.25849 • Published 18 days ago • 46
Reactive Transformer (RxT) -- Stateful Real-Time Processing for Event-Driven Reactive Language Models

Paper • 2510.03561 • Published 14 days ago • 23
Less is More: Recursive Reasoning with Tiny Networks

Paper • 2510.04871 • Published 12 days ago • 398

Towards General Agentic Intelligence via Environment Scaling

Paper • 2509.13311 • Published Sep 16 • 69
Tree Search for LLM Agent Reinforcement Learning

Paper • 2509.21240 • Published 23 days ago • 86
Knapsack RL: Unlocking Exploration of LLMs via Optimizing Budget Allocation

Paper • 2509.25849 • Published 18 days ago • 46
Attention as a Compass: Efficient Exploration for Process-Supervised RL in Reasoning Models

Paper • 2509.26628 • Published 18 days ago • 12

about 21 hours ago

Open Data Synthesis For Deep Research

Paper • 2509.00375 • Published Aug 30 • 68
Beyond Correctness: Harmonizing Process and Outcome Rewards through RL Training

Paper • 2509.03403 • Published Sep 3 • 21
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

Provable Benefits of In-Tool Learning for Large Language Models

Paper • 2508.20755 • Published Aug 28 • 11
MCP-Bench: Benchmarking Tool-Using LLM Agents with Complex Real-World Tasks via MCP Servers

Paper • 2508.20453 • Published Aug 28 • 63
How Can Input Reformulation Improve Tool Usage Accuracy in a Complex Dynamic Environment? A Study on τ-bench

Paper • 2508.20931 • Published Aug 28 • 15
AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcement Learning

Paper • 2509.08755 • Published Sep 10 • 55

From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review

Paper • 2504.19678 • Published Apr 28 • 3
DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search

Paper • 2509.25454 • Published 18 days ago • 130
Knapsack RL: Unlocking Exploration of LLMs via Optimizing Budget Allocation

Paper • 2509.25849 • Published 18 days ago • 46

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