Reinforcement Learning

Reference-Free Schema Generation for Literature Review Tables via Multi-Faceted Rewards ACL 2026 RehearseVLA: Simulated Post-Training for VLAs with Physically-Consistent World Model CVPR 2026 Reinforcement Learning-based Adaptive Control of Classifier-Free Guidance and Timestep Embeddings in Diffusion Models WACV 2026 Reinforcement Learning with Fuzzy Human Attention-Guided Graph for Heterogeneous Multiagent Systems AAAI 2026 Reinforcement Learning Without Explicit Rewards: Theory and Practice AAAI 2026 Reliability-Guaranteed and Reward-Seeking Sequence Modeling for Model-Based Offline Reinforcement Learning AAAI 2026 Reliable Policy Transfer for Safety-Aware End-to-End Driving with Deep Reinforcement Learning CVPR 2026 Revealing POMDPs: Qualitative and Quantitative Analysis for Parity Objectives AAAI 2026 Revisiting TD Target Aggregation under Uncertainty in Q-Learning UAI 2026 Reward Model Evaluation via Automatically-Ranked Policy Alignment AAAI 2026 Reward Redistribution via Gaussian Process Likelihood Estimation AAAI 2026 Risk-Sensitive Exponential Actor Critic AAAI 2026 RL-ScanIQA: Reinforcement-Learned Scanpaths for Blind 360deg Image Quality Assessment CVPR 2026 RLSLM: A Hybrid Framework Combining Reinforcement Learning and a Rule-based Social Locomotion Model for Socially-aware Navigation AAAI 2026 RL-Studio: A System for Multi-Phase Reinforcement Learning Experimentation AAAI 2026 Robust Adaptive Multi-Step Predictive Shielding (Student Abstract) AAAI 2026 RollArt: Disaggregated Multi-Task Agentic RL Training at Scale OSDI 2026 rSIM: Incentivizing Reasoning Capabilities of LLMs via Reinforced Strategy Injection ACL 2026 RSPlace: Rotation Sensing Macro Placement via Bidirectional Tree Expansion AAAI 2026 S^4: Operationalizing Speech Act Theory for Strategic Semi-Structured Psychiatric Interview ACL 2026 Safe Control using Learned Safety Filters and Adaptive Conformal Inference L4DC 2026 SafeMIL: Learning Offline Safe Imitation Policy from Non-Preferred Trajectories AAAI 2026 Safe Multi-Agent Reinforcement Learning via Distributional Safety Critic and Maximum Entropy Optimization AAAI 2026 Safe Reinforcement Learning for Trustworthy AI: Theory, Algorithms, and Applications AAAI 2026 Saliency-Guided Representation with Consistency Policy Learning for Visual Unsupervised Reinforcement Learning CVPR 2026