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Discover the best community collections!

Collections including paper arxiv:2606.11025

robotics and rl

Cosmos 3: Omnimodal World Models for Physical AI

Paper • 2606.02800 • Published Jun 1 • 142
Robots Need More than VLA and World Models

Paper • 2606.06556 • Published Jun 4 • 31
VLANeXt: Recipes for Building Strong VLA Models

Paper • 2602.18532 • Published Feb 20 • 52
Flow-DPPO: Divergence Proximal Policy Optimization for Flow Matching Models

Paper • 2606.11025 • Published Jun 9 • 42

Flow-DPPO: GenEval2

Flow-DPPO-trained LoRA adapters (single- and multi-reward) for SD3.5 and FLUX.2-klein-9B optimized on GenEval2.

Tencent-Hunyuan-Multimodal-RL/SD3.5-GenEval2-Single-Reward

Text-to-Image • Updated Jun 11 • 6
Tencent-Hunyuan-Multimodal-RL/SD3.5-GenEval2-Multi-Reward

Text-to-Image • Updated Jun 11 • 6
Tencent-Hunyuan-Multimodal-RL/FLUX2-klein-base-9b-GenEval2-Single-Reward

Text-to-Image • Updated Jun 11 • 21 • • 1
Tencent-Hunyuan-Multimodal-RL/FLUX2-klein-base-9b-GenEval2-Multi-Reward

Text-to-Image • Updated Jun 11 • 11 • • 3

E-GRPO: High Entropy Steps Drive Effective Reinforcement Learning for Flow Models

Paper • 2601.00423 • Published Jan 1 • 11
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization

Paper • 2601.05242 • Published Jan 8 • 235
FP8-RL: A Practical and Stable Low-Precision Stack for LLM Reinforcement Learning

Paper • 2601.18150 • Published Jan 26 • 11
DenseGRPO: From Sparse to Dense Reward for Flow Matching Model Alignment

Paper • 2601.20218 • Published Jan 28 • 16

Flow-DPPO: Divergence Proximal Policy Optimization for Flow Matching Models

Paper • 2606.11025 • Published Jun 9 • 42

07. IA agentica

Multi-Agent Computer Use

Paper • 2606.01533 • Published Jun 1 • 6
OpenSkill: Open-World Self-Evolution for LLM Agents

Paper • 2606.06741 • Published Jun 4 • 29
Socratic-SWE: Self-Evolving Coding Agents via Trace-Derived Agent Skills

Paper • 2606.07412 • Published Jun 5 • 13
Bayesian-Agent: Posterior-Guided Skill Evolution for LLM Agent Harnesses

Paper • 2606.08348 • Published Jun 6 • 16

lusxvr/nanoVLM-222M

Image-Text-to-Text • 0.2B • Updated May 8, 2025 • 472 • 103
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Paper • 2503.09516 • Published Mar 12, 2025 • 41
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time

Paper • 2505.24863 • Published May 30, 2025 • 98
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning

Paper • 2505.17667 • Published May 23, 2025 • 89

robotics and rl

Cosmos 3: Omnimodal World Models for Physical AI

Paper • 2606.02800 • Published Jun 1 • 142
Robots Need More than VLA and World Models

Paper • 2606.06556 • Published Jun 4 • 31
VLANeXt: Recipes for Building Strong VLA Models

Paper • 2602.18532 • Published Feb 20 • 52
Flow-DPPO: Divergence Proximal Policy Optimization for Flow Matching Models

Paper • 2606.11025 • Published Jun 9 • 42

Flow-DPPO: Divergence Proximal Policy Optimization for Flow Matching Models

Paper • 2606.11025 • Published Jun 9 • 42

Flow-DPPO: GenEval2

Flow-DPPO-trained LoRA adapters (single- and multi-reward) for SD3.5 and FLUX.2-klein-9B optimized on GenEval2.

Tencent-Hunyuan-Multimodal-RL/SD3.5-GenEval2-Single-Reward

Text-to-Image • Updated Jun 11 • 6
Tencent-Hunyuan-Multimodal-RL/SD3.5-GenEval2-Multi-Reward

Text-to-Image • Updated Jun 11 • 6
Tencent-Hunyuan-Multimodal-RL/FLUX2-klein-base-9b-GenEval2-Single-Reward

Text-to-Image • Updated Jun 11 • 21 • • 1
Tencent-Hunyuan-Multimodal-RL/FLUX2-klein-base-9b-GenEval2-Multi-Reward

Text-to-Image • Updated Jun 11 • 11 • • 3

07. IA agentica

Multi-Agent Computer Use

Paper • 2606.01533 • Published Jun 1 • 6
OpenSkill: Open-World Self-Evolution for LLM Agents

Paper • 2606.06741 • Published Jun 4 • 29
Socratic-SWE: Self-Evolving Coding Agents via Trace-Derived Agent Skills

Paper • 2606.07412 • Published Jun 5 • 13
Bayesian-Agent: Posterior-Guided Skill Evolution for LLM Agent Harnesses

Paper • 2606.08348 • Published Jun 6 • 16

E-GRPO: High Entropy Steps Drive Effective Reinforcement Learning for Flow Models

Paper • 2601.00423 • Published Jan 1 • 11
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization

Paper • 2601.05242 • Published Jan 8 • 235
FP8-RL: A Practical and Stable Low-Precision Stack for LLM Reinforcement Learning

Paper • 2601.18150 • Published Jan 26 • 11
DenseGRPO: From Sparse to Dense Reward for Flow Matching Model Alignment

Paper • 2601.20218 • Published Jan 28 • 16

lusxvr/nanoVLM-222M

Image-Text-to-Text • 0.2B • Updated May 8, 2025 • 472 • 103
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Paper • 2503.09516 • Published Mar 12, 2025 • 41
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time

Paper • 2505.24863 • Published May 30, 2025 • 98
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning

Paper • 2505.17667 • Published May 23, 2025 • 89

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