Methods

Meta-Normalizing Flow for Data-Limited Offline Meta-Reinforcement Learning (Student Abstract) AAAI 2026 MetaTrader: Learning to Generalize RL Trading Policies Beyond Offline Data AAAI 2026 Misalignment from Treating Means as Ends AAAI 2026 Model-Based Reinforcement Learning under Random Observation Delays L4DC 2026 MoE-GRPO: Optimizing Mixture-of-Experts via Reinforcement Learning in Vision-Language Models CVPR 2026 MolMem: Memory-Augmented Agentic Reinforcement Learning for Sample-Efficient Molecular Optimization ACL 2026 MonoVLM: Monocular 3D Visual Grounding with Vision Language Models CVPR 2026 MoRI: Learning Motivation-Grounded Reasoning for Scientific Ideation in Large Language Models ACL 2026 MorphSeek: Fine-grained Latent Representation-Level Policy Optimization for Deformable Image Registration CVPR 2026 Motus: A Unified Latent Action World Model CVPR 2026 MrCoM: A Meta-Regularized World-Model Generalizing Across Multi-Scenarios AAAI 2026 MS-PPO: Mean Standard Deviation Proximal Policy Optimization for Reliable Parking Space Search in Structured Environments AAAI 2026 MSRL: Scaling Generative Multimodal Reward Modeling via Multi-Stage Reinforcement Learning CVPR 2026 MTRL-CG: Multi-Task Reinforcement Learning Method with Spectral Clustering-Based Task Grouping AAAI 2026 Multi-agent In-context Coordination via Decentralized Memory Retrieval AAAI 2026 Multi-Agent Pointer Transformer: Seq-to-Seq Reinforcement Learning for Multi-Vehicle Dynamic Pickup-Delivery Problems AAAI 2026 Multi-Agent Reinforcement Learning for Modeling, Simulating, and Optimizing Energy Markets AAAI 2026 Multi-Agent RL with Invisible Collaborators: Marginal Advantage Estimation for Indirect Cooperation UAI 2026 Multi-Stage Reinforcement Learning for Robust Charging of Quantum Batteries (Student Abstract) AAAI 2026 NaviMaster: Learning a Unified Policy for GUI and Embodied Navigation Tasks ACL 2026 Neural Value Iteration UAI 2026 Neuro-Cognitive Reward Modeling for Human-Centered Autonomous Vehicle Control CVPR 2026 No MoCap Needed: Post-Training Motion Diffusion Models with Reinforcement Learning using Only Textual Prompts WACV 2026 No More Stale Feedback: Co-Evolving Critics for Open-World Agent Learning ACL 2026 Object-Centric World Models for Causality-Aware Reinforcement Learning AAAI 2026