AgenticRoboRL: Bringing Coding-Agent Post-Training to Agentic Robotics Paper • 2610.28589 • Published 13 days ago • 45
CoEvo-RSI: When Harnesses Evolve, Which Models Should Follow? Paper • 2610.25078 • Published 15 days ago • 49
Matrix-Game 4.0: Harnessing Video Models for Real-Time Playable Game Worlds Paper • 2610.27999 • Published 13 days ago • 102
Abstain-R1: Calibrated Abstention and Post-Refusal Clarification via Verifiable RL Paper • 2604.17073 • Published Apr 18 • 9
Make Sparse Rewards Count: Density-Aware Reward Aggregation for Multi-Reward RL Paper • 2610.00574 • Published Sep 30 • 34
Each Reward to Its Relevant Tokens: Reward-Specific Token-Level Credit Assignment for Multi-Reward RL Paper • 2610.21439 • Published 18 days ago • 35
view article Article The Most Intuitive Way to Understand Score Function Centering: Understand Trainer-Generator Mismatch in Async RL from the Score Function NormalUhr • 18 days ago • 15
Each Reward to Its Relevant Tokens: Reward-Specific Token-Level Credit Assignment for Multi-Reward RL Paper • 2610.21439 • Published 18 days ago • 35
Each Reward to Its Relevant Tokens: Reward-Specific Token-Level Credit Assignment for Multi-Reward RL Paper • 2610.21439 • Published 18 days ago • 35
SanSi: A Looped Typed Decision Model for System 1.5 Thinking Paper • 2610.07730 • Published 27 days ago • 20
CorrGRPO: Correlation-Normalized GRPO for Multi-Reward Learning Paper • 2609.36820 • Published Sep 29 • 24
A Missing Piece for Trustworthy AI Reviewers: From Benchmarking Rhetorical Robustness to SciCore Review Paper • 2609.39027 • Published Sep 30 • 21
Make Sparse Rewards Count: Density-Aware Reward Aggregation for Multi-Reward RL Paper • 2610.00574 • Published Sep 30 • 34
Make Sparse Rewards Count: Density-Aware Reward Aggregation for Multi-Reward RL Paper • 2610.00574 • Published Sep 30 • 34