Reinforcement Learning

Test-Time Reinforcement Learning for GUI Grounding via Region Consistency AAAI 2026 Thinking with Drafts: Speculative Temporal Reasoning for Efficient Long Video Understanding CVPR 2026 Thinking with Frames: Generative Video Distortion Evaluation via Frame Reward Model CVPR 2026 Thinking With Videos: Multimodal Tool-Augmented Reinforcement Learning for Long Video Reasoning CVPR 2026 Think, Speak, Decide: Language-Augmented Multi-Agent Reinforcement Learning for Economic Decision-Making AAAI 2026 Tight Sample Complexity Bounds for Entropic Best Policy Identification COLT 2026 TMAE:Learning Targeted Multi-Agent Exploration via Causal Inference AAAI 2026 TORA: Train Once, Realign Anytime for Offline Multi-Objective Reinforcement Learning AAAI 2026 Towards Fairness in Transportation Gig Markets: Identifying, Imitating, and Mitigating Algorithm Discrimination via Deep Reinforcement Learning AAAI 2026 Training One Model to Master Cross-Level Agentic Actions via Reinforcement Learning CVPR 2026 Trajectory Data Suffices for Statistically Efficient Policy Evaluation in Fixed-Horizon Offline RL with Linear q^π-Realizability and Concentrability COLT 2026 Trajectory Tactics: When Transformers Learn Exploration to Generate Online Signature WACV 2026 Treatment Stitching with Schrödinger Bridge for Enhancing Offline Reinforcement Learning in Adaptive Treatment Strategies AAAI 2026 TSTM: Temporal Segmentation for Task-relevant Mask in Visual Reinforcement Learning Generalization CVPR 2026 Turning Failures into Value: Negative Experience Replay for RLVR via Confidence Gating and Boundary Failure Sampling ACL 2026 Turn-PPO: Turn-Level Advantage Estimation with PPO for Improved Multi-Turn RL in Agentic LLMs EACL 2026 TW-CRL: Time-Weighted Contrastive Reward Learning for Efficient Inverse Reinforcement Learning AAAI 2026 UAST: Unified Active Search and Tracking for Arbitrary Targets with UAVs CVPR 2026 Universal Compressed Image Restoration via Codec-Aware Conditioning with Reinforcement Learning AAAI 2026 Unlocking Token Rewards via Training-Free Reward Attribution CVPR 2026 UNO! UNified Offline Training Paradigm for Learning Path Recommendation AAAI 2026 Unreal-MAP: Unreal-Engine-Based General Platform for Multi-agent Reinforcement Learning AAAI 2026 Variance Reduction via Resampling and Experience Replay AAAI 2026 Variational OOD State Correction for Offline Reinforcement Learning AAAI 2026 VAR RL Done Right: Tackling Asynchronous Policy Conflicts in Visual Autoregressive Generation CVPR 2026