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Reinforcement Learning

7,982 papers (84 classified directly here)

Subtopics

Methods (6,493) Applications (2,922)

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Papers (including subtopics)

GraphRAG-Induced Dual Knowledge Structure Graphs for Personalized Learning Path Recommendation AAAI 2026

UNO! UNified Offline Training Paradigm for Learning Path Recommendation AAAI 2026

Potent but Stealthy: Rethink Profile Pollution Against Sequential Recommendation via Bi-Level Constrained Reinforcement Paradigm AAAI 2026

Multi-Agent Pointer Transformer: Seq-to-Seq Reinforcement Learning for Multi-Vehicle Dynamic Pickup-Delivery Problems AAAI 2026

Explaining Decentralized Multi-Agent Reinforcement Learning Policies AAAI 2026

ESCA: An Emotional Support Conversation Agent for Enhancing Reasonable Strategy Planning and Effective Expression AAAI 2026

Treatment Stitching with Schrödinger Bridge for Enhancing Offline Reinforcement Learning in Adaptive Treatment Strategies AAAI 2026

Dexterous Manipulation Transfer via Progressive Kinematic-Dynamic Alignment AAAI 2026

Learning Object-Centric Motion Priors from Human for Robotic Dexterous Manipulation AAAI 2026

PhyPlan: Learning to Plan Tasks with Generalizable and Rapid Physical Reasoning for Embodied Manipulation AAAI 2026

FoAM: Foresight-Augmented Multi-Task Imitation Policy for Robotic Manipulation AAAI 2026

Coordinated Humanoid Robot Locomotion with Symmetry Equivariant Reinforcement Learning Policy AAAI 2026

Actor-Critic for Continuous Action Chunks: A Reinforcement Learning Framework for Long-Horizon Robotic Manipulation with Sparse Reward AAAI 2026

DIMM: Decoupled Multi-hierarchy Kalman Filter via Reinforcement Learning AAAI 2026

Balancing Signal and Variance: Adaptive Offline RL Post-Training for VLA Flow Models AAAI 2026

Keep On Going: Learning Robust Humanoid Motion Skills via Selective Adversarial Training AAAI 2026

D²PPO: Diffusion Policy Policy Optimization with Dispersive Loss AAAI 2026

Expressive Temporal Specifications for Reward Monitoring AAAI 2026

Stabilizing Policy Gradient Methods via Reward Profiling AAAI 2026

Convergence of Fast Policy Iteration in Markov Games and Robust MDPs AAAI 2026

DiffOP: Reinforcement Learning of Optimization-Based Control Policies via Implicit Policy Gradients AAAI 2026

SafeMIL: Learning Offline Safe Imitation Policy from Non-Preferred Trajectories AAAI 2026

Causality-Aware Efficient Exploration for Cooperative Multi-Agent Reinforcement Learning AAAI 2026

Benchmarking Reinforcement Learning Algorithms for ICU Ventilator Settings: An Interpretable and Probabilistic Patient Environment for Doctor Agents AAAI 2026

GINO-Q: Learning an Asymptotically Optimal Index Policy for Restless Multi-armed Bandits AAAI 2026