Reinforcement Learning

Achieving Equilibrium Under Utility Heterogeneity: An Agent-Attention Framework for Multi-Agent Multi-Objective Reinforcement Learning AAAI 2026 AcoustoReinforce: Multi-Particle Acoustophoretic Path Planning with Deep Reinforcement Learning AAAI 2026 Active Intelligence in Video Avatars via Closed-loop World Modeling CVPR 2026 Actor-Critic for Continuous Action Chunks: A Reinforcement Learning Framework for Long-Horizon Robotic Manipulation with Sparse Reward AAAI 2026 ADAPT: Adaptive Decentralized Architecture with Perception-Aligned Training for Structural Generalization in Multi-Agent RL AAAI 2026 Adapting World Models with Latent-State Dynamics Residuals L4DC 2026 Adaptive 3D Perception for Small Aerial Targets Under Sparse Sampling via Reinforcement Learning CVPR 2026 Adaptive Policy Selection and Fine-Tuning under Interaction Budgets for Offline-to-Online Reinforcement Learning L4DC 2026 Adaptive Regulation via Dual-Layer Evolution (ARDE): A Multi-Agent Approach to Balancing Efficiency, Fairness, and Diversity in Crowdsourced Platforms AAAI 2026 AdaptVision: Efficient Vision-Language Models via Adaptive Visual Acquisition CVPR 2026 A Differential Perspective on Distributional Reinforcement Learning AAAI 2026 Advancing Safe Mechanical Ventilation Using Offline RL with Hybrid Actions and Clinically Aligned Rewards AAAI 2026 AGiLe: Learning Robust Long-Horizon Manipulation via Affordance-Grounded Bidirectional Latent Planning CVPR 2026 AI-Driven Real-Time Acoustic Modelling for Better Audio Perception in Dynamic Environments AAAI 2026 Aligning Machiavellian Agents: Behavior Steering via Test-Time Policy Shaping AAAI 2026 Analytic Planning under Uncertainty with Moment Closure UAI 2026 Android Coach: Improve Online Agentic Training Efficiency with Single State Multiple Actions ACL 2026 An Interactive Simulation Framework by Ensemble Imitation Learning Agents for Training Robust Trading Policies AAAI 2026 An MRP Formulation for Supervised Learning: Generalized Temporal Difference Learning Models (Abstract Reprint) AAAI 2026 An NTK Theory Approach to UCB Estimation in Semi-gradient TD Learning UAI 2026 Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study CVPR 2026 APPO: Attention-guided Perception Policy Optimization for Video Reasoning CVPR 2026 Ar2Can: An Architect and an Artist Leveraging a Canvas for Multi-Human Generation CVPR 2026 Arabic Dialect Translation with Small LLMs: Enhancing through Reasoning-Oriented Reinforcement Learning EACL 2026 A Reinforcement Learning Approach in Multi-Phase Second-Price Auction Design JMLR 2026