Research

Hugging Face Daily Papers4d ago

Each Reward to Its Relevant Tokens: Reward-Specific Token-Level Credit Assignment for Multi-Reward RL

Hugging Face Daily Papers4d ago

Skill-Decoupled On-Policy Expert Distillation for Unified Vision-Language Models

Hugging Face Daily Papers6d ago

GroundGUI: GUI Grounding by High-Quality Data and Distillation-to-Reinforcement Learning

Hugging Face Daily Papers4d ago

Terminal-RSI: Recursive Self-Improving Terminal Agents via Recursive Self-Rewrite and Policy-Refine

Hugging Face Daily Papers4d ago

Waypoint-OPD: Transferring RL-Induced Policy Shifts via Gated On-Policy Distillation

Hugging Face Daily Papers6d ago

Agent-Reflex: Teaching Language Agents to Act Reflectively

Hugging Face Daily Papers5d ago

More Methods, Better Agents? A Reality Check on Self-Distillation in Agentic Reinforcement Learning

Hugging Face Daily Papers5d ago

ActionOPD: Distilling Decisions, Not Tokens

Hugging Face Daily Papers5d ago

VASPO: Self-Distillation with Privileged Value Estimation

Hugging Face Daily Papers4d ago

MMSearch-OPD: Easy Made Hard, Hard Made Learnable for Long-Horizon Multimodal Search Agents

Hugging Face Daily Papers5d ago

MAI-Gym: An Open All-in-One Platform for GUI Agent Evaluation and RL Training across Mobile and Computer Environments

Hugging Face Daily Papers6d ago

ReTerm: Recovery Training for Self-Improving Terminal Agents

Hugging Face Daily Papers11d ago

DreamTrue: Action-Faithful Robot World Model with Counterfactual Post-Training

Hugging Face Daily Papers5d ago

From Failures to Learnable Worlds: Policy-Conditioned Environment Generation for Navigation Agents

Hugging Face Daily Papers6d ago

Many Right Answers, One Training Example: Removing Responder Noise from GRPO for LLM Recommenders

Hugging Face Daily Papers7d ago

Spectral-Driven Adaptive-Rank Optimizer for Large Language Model Reinforcement Learning with Verifiable Rewards

Hugging Face Daily Papers5d ago

SERO: Learning from Executable Oracle Continuations for Long-Horizon Agentic Reinforcement Learning

Hugging Face Daily Papers6d ago

Rubrics from the Task, Verdicts from Evidence: Pointwise Rubric Rewards with Tool-Augmented Judges

Hugging Face Daily Papers9d ago

KV4-RL: Unlocking Faster Asynchronous Rollouts for RLVR with INT4 KV Cache Quantization

Hugging Face Daily Papers11d ago

MiMo-V2.6: Scaling Reinforcement Learning Towards Self-Improvement

Hugging Face Daily Papers4d ago

Mosaic: Multi-Session Agentic Reinforcement Learning

Hugging Face Daily Papers13d ago

Self-Retrospection Distillation: Turning Post-hoc Experiences into Prior Foresight

Hugging Face Daily Papers6d ago

FlashVSR+: Efficient Video Super-Resolution via Hybrid Attention and Reward-Yield Distribution Matching

Hugging Face Daily Papers6d ago

Can an Agent Learn to Predict Its Own Failure? Outcome-Grounded Confidence Calibration in LLM Agents

Hugging Face Daily Papers4d ago

Learning Self-Orchestration in Decentralized Agent Swarms

Hugging Face Daily Papers7d ago

TPPO: Tracking-Value PPO For Language Model Reasoning

Hugging Face Daily Papers5d ago

SwarmRSI: Recursive Self-Improvement through Evolving Scientific Agent Swarm

Hugging Face Daily Papers6d ago

Enabling Token-wise Importance Sampling in Off-Policy RLVR with Proximal KL Regularization

Hugging Face Daily Papers5d ago

Long-Horizon RL Needs Muon

Hugging Face Daily Papers7d ago

Beyond Policy Rollouts: Embedding-Space Directional Exploration with Anchored Noise for LLM RLVR

Hugging Face Daily Papers6d ago

DeltaTTG: Training Multi-Turn Agents with a Token-to-Go Progress Meter

arXiv3d ago

TransNav: Transformer-Based End-to-End Navigation Method for Static and Dynamic Quadrotor Obstacle Avoidance

Hugging Face Daily Papers6d ago

Training LLMs for Multi-Agent Collaboration with Verifiable Information Rewards

Hugging Face Daily Papers11d ago

DiffusionART: Efficient, Stable and Scalable Reinforcement of Diffusion Models

Hugging Face Daily Papers5d ago

Diagnosing and Correcting Reward Hacking in Verifiable Instruction Following

arXiv3d ago

Agentic In-Context Learning: What Algorithms Can Transformers Learn in Closed-Loop Interaction?

Hugging Face Daily Papers5d ago

AgentSafeEvo: Adversarial Co-Evolution for LLM Agent Safety

Hugging Face Daily Papers7d ago

StartLux-Decision: AutoThink Decision Models with Reinforcement Learning for Calibrated Deliberative Decisions

arXiv5d ago

Active Generative Simulation: Meta-Learning What to Simulate for Sim-and-Real Policy Co-Training