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Discover the best community collections!

Collections including paper arxiv:2509.02547

Towards General-Purpose Model-Free Reinforcement Learning

Paper • 2501.16142 • Published Jan 27 • 30
DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Paper • 2503.14476 • Published Mar 18 • 142
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

Paper • 2504.13837 • Published Apr 18 • 138
Learning to Reason under Off-Policy Guidance

Paper • 2504.14945 • Published Apr 21 • 88

about 1 month ago

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2 • 225
Tongyi DeepResearch Technical Report

Paper • 2510.24701 • Published Oct 28 • 96
PeterJinGo/SearchR1-nq_hotpotqa_train-qwen2.5-3b-em-ppo-v0.3

3B • Updated May 21 • 29
PeterJinGo/SearchR1-nq_hotpotqa_train-qwen2.5-3b-em-grpo-v0.3

3B • Updated May 21 • 227 • 1

Agent Learning via Early Experience

Paper • 2510.08558 • Published Oct 9 • 266
Learning on the Job: An Experience-Driven Self-Evolving Agent for Long-Horizon Tasks

Paper • 2510.08002 • Published Oct 9 • 23
Self-Improving LLM Agents at Test-Time

Paper • 2510.07841 • Published Oct 9 • 9
The Denario project: Deep knowledge AI agents for scientific discovery

Paper • 2510.26887 • Published Oct 30 • 6

survey : agents

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2 • 225
A Survey of Scientific Large Language Models: From Data Foundations to Agent Frontiers

Paper • 2508.21148 • Published Aug 28 • 140

UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning

Paper • 2509.02544 • Published Sep 2 • 124
Sharing is Caring: Efficient LM Post-Training with Collective RL Experience Sharing

Paper • 2509.08721 • Published Sep 10 • 660
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2 • 225
A.S.E: A Repository-Level Benchmark for Evaluating Security in AI-Generated Code

Paper • 2508.18106 • Published Aug 25 • 345

Qwen2 Technical Report

Paper • 2407.10671 • Published Jul 15, 2024 • 167
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2 • 225
Agent0: Unleashing Self-Evolving Agents from Zero Data via Tool-Integrated Reasoning

Paper • 2511.16043 • Published 17 days ago • 104

Agent Learning via Early Experience

Paper • 2510.08558 • Published Oct 9 • 266
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2 • 225
Scaling Agents via Continual Pre-training

Paper • 2509.13310 • Published Sep 16 • 117
Agent Lightning: Train ANY AI Agents with Reinforcement Learning

Paper • 2508.03680 • Published Aug 5 • 121

Continual Learning - VLA

VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model

Paper • 2509.09372 • Published Sep 11 • 239
VLA-R1: Enhancing Reasoning in Vision-Language-Action Models

Paper • 2510.01623 • Published Oct 2 • 10
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2 • 225
WMPO: World Model-based Policy Optimization for Vision-Language-Action Models

Paper • 2511.09515 • Published 24 days ago • 17

Sharing is Caring: Efficient LM Post-Training with Collective RL Experience Sharing

Paper • 2509.08721 • Published Sep 10 • 660
A.S.E: A Repository-Level Benchmark for Evaluating Security in AI-Generated Code

Paper • 2508.18106 • Published Aug 25 • 345
VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model

Paper • 2509.09372 • Published Sep 11 • 239
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2 • 225

Survey,Review,Landscape

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2 • 225
A Survey of Reinforcement Learning for Large Reasoning Models

Paper • 2509.08827 • Published Sep 10 • 189

Towards General-Purpose Model-Free Reinforcement Learning

Paper • 2501.16142 • Published Jan 27 • 30
DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Paper • 2503.14476 • Published Mar 18 • 142
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

Paper • 2504.13837 • Published Apr 18 • 138
Learning to Reason under Off-Policy Guidance

Paper • 2504.14945 • Published Apr 21 • 88

Qwen2 Technical Report

Paper • 2407.10671 • Published Jul 15, 2024 • 167
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2 • 225
Agent0: Unleashing Self-Evolving Agents from Zero Data via Tool-Integrated Reasoning

Paper • 2511.16043 • Published 17 days ago • 104

about 1 month ago

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2 • 225
Tongyi DeepResearch Technical Report

Paper • 2510.24701 • Published Oct 28 • 96
PeterJinGo/SearchR1-nq_hotpotqa_train-qwen2.5-3b-em-ppo-v0.3

3B • Updated May 21 • 29
PeterJinGo/SearchR1-nq_hotpotqa_train-qwen2.5-3b-em-grpo-v0.3

3B • Updated May 21 • 227 • 1

Agent Learning via Early Experience

Paper • 2510.08558 • Published Oct 9 • 266
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2 • 225
Scaling Agents via Continual Pre-training

Paper • 2509.13310 • Published Sep 16 • 117
Agent Lightning: Train ANY AI Agents with Reinforcement Learning

Paper • 2508.03680 • Published Aug 5 • 121

Agent Learning via Early Experience

Paper • 2510.08558 • Published Oct 9 • 266
Learning on the Job: An Experience-Driven Self-Evolving Agent for Long-Horizon Tasks

Paper • 2510.08002 • Published Oct 9 • 23
Self-Improving LLM Agents at Test-Time

Paper • 2510.07841 • Published Oct 9 • 9
The Denario project: Deep knowledge AI agents for scientific discovery

Paper • 2510.26887 • Published Oct 30 • 6

Continual Learning - VLA

VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model

Paper • 2509.09372 • Published Sep 11 • 239
VLA-R1: Enhancing Reasoning in Vision-Language-Action Models

Paper • 2510.01623 • Published Oct 2 • 10
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2 • 225
WMPO: World Model-based Policy Optimization for Vision-Language-Action Models

Paper • 2511.09515 • Published 24 days ago • 17

survey : agents

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2 • 225
A Survey of Scientific Large Language Models: From Data Foundations to Agent Frontiers

Paper • 2508.21148 • Published Aug 28 • 140

Sharing is Caring: Efficient LM Post-Training with Collective RL Experience Sharing

Paper • 2509.08721 • Published Sep 10 • 660
A.S.E: A Repository-Level Benchmark for Evaluating Security in AI-Generated Code

Paper • 2508.18106 • Published Aug 25 • 345
VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model

Paper • 2509.09372 • Published Sep 11 • 239
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2 • 225

UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning

Paper • 2509.02544 • Published Sep 2 • 124
Sharing is Caring: Efficient LM Post-Training with Collective RL Experience Sharing

Paper • 2509.08721 • Published Sep 10 • 660
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2 • 225
A.S.E: A Repository-Level Benchmark for Evaluating Security in AI-Generated Code

Paper • 2508.18106 • Published Aug 25 • 345

Survey,Review,Landscape

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2 • 225
A Survey of Reinforcement Learning for Large Reasoning Models

Paper • 2509.08827 • Published Sep 10 • 189

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