Methods

Learning to Cooperate with Minimal Observability AAAI 2026 Learning to Generate and Extract: A Multi-Agent Collaboration Framework for Zero-Shot Document-Level Event Arguments Extraction AAAI 2026 Learning to Optimize Job Shop Scheduling Under Structural Uncertainty AAAI 2026 Learning to Plan, Planning to Learn: Adaptive Hierarchical RL-MPC for Sample-Efficient Decision Making L4DC 2026 Learning to See and Act: Task-Aware Virtual View Exploration for Robotic Manipulation CVPR 2026 Lightweight and Faithful Visual Condition Checking in Behavior Trees via Expert-Regularized Reinforcement Learning ACL 2026 LLM Collaboration with Multi-Agent Reinforcement Learning AAAI 2026 Local Motion Matters: A Deconstruct-Recompose Paradigm for Reinforcement Learning Pre-training from Videos CVPR 2026 Look Less, Reason More: Rollout-Guided Adaptive Pixel-Space Reasoning ACL 2026 LPPG-RL: Lexicographically Projected Policy Gradient Reinforcement Learning with Subproblem Exploration AAAI 2026 Lyapunov-Based Sample Complexity Analysis for Weakly-Coupled MDPs (extended abstract) COLT 2026 MangoBench: A Benchmark for Multi-Agent Goal-Conditioned Offline Reinforcement Learning CVPR 2026 Many Minds, One Path: LLM-Augmented Consensus Decision for Distributed Control in Multi-Agent Collaborative Stable Scenarios AAAI 2026 MARLIN: Multi-Agent Reinforcement Learning for Incremental DAG Discovery AAAI 2026 MARPO: A Reflective Policy Optimization for Multi-Agent Reinforcement Learning AAAI 2026 MARS: A Meta-Adaptive Reinforcement Learning Framework for Risk-Aware Multi-Agent Portfolio Management AAAI 2026 MARS-RA: Rank Aggregation for Credit Assignment via Multimodal Comparisons in Embodied Multi-Agent Cooperation ACL 2026 Masking Teacher and Reinforcing Student for Distilling Vision-Language Models CVPR 2026 MASPO: Unifying Gradient Utilization, Probability Mass, and Signal Reliability for Robust and Sample-Efficient LLM Reasoning ACL 2026 MDP-GRPO: Stabilized Group Relative Policy Optimization for Multi-Constraint Instruction Following ACL 2026 MedLoc-R1: Performance-Aware Curriculum Reward Scheduling for GRPO-Based Medical Visual Grounding CVPR 2026 MemCoRL: Alternating Co-Optimization of Memory Retrieval and Utilization via Collaborative Reinforcement Learning ACL 2026 Memory-Augmented Representation for Efficient Event-based Visuomotor Policy Learning with Adaptive Perception and Control WACV 2026 Mesh-Pro: Asynchronous Advantage-guided Ranking Preference Optimization for Artist-style Quadrilateral Mesh Generation CVPR 2026 Meta-Black-Box Optimization with Bi-Space Landscape Analysis and Dual-Control Mechanism for SAEA AAAI 2026