Towards General-Purpose Model-Free Reinforcement Learning
Paper
•
2501.16142
•
Published
•
30
RL
-
-
RL + Transformer = A General-Purpose Problem Solver
Paper • 2501.14176 • Published • 28 -
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training
Paper • 2501.17161 • Published • 123 -
Process-Supervised Reinforcement Learning for Code Generation
Paper • 2502.01715 • Published -
VideoChat-R1: Enhancing Spatio-Temporal Perception via Reinforcement Fine-Tuning
Paper • 2504.06958 • Published • 13 -
ZeroSearch: Incentivize the Search Capability of LLMs without Searching
Paper • 2505.04588 • Published • 65 -
Improving Editability in Image Generation with Layer-wise Memory
Paper • 2505.01079 • Published • 29 -
RLVR-World: Training World Models with Reinforcement Learning
Paper • 2505.13934 • Published • 16 -
s3: You Don't Need That Much Data to Train a Search Agent via RL
Paper • 2505.14146 • Published • 19 -
Robust Reward Modeling via Causal Rubrics
Paper • 2506.16507 • Published • 9 -
Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models
Paper • 2506.18945 • Published • 40 -
Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens
Paper • 2508.01191 • Published • 238 -
UI-Venus Technical Report: Building High-performance UI Agents with RFT
Paper • 2508.10833 • Published • 44