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Reinforcement Learning

9,982 papers (145 classified directly here)

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Papers (including subtopics)

Inverse Reinforcement Learning by Estimating Expertise of Demonstrators AAAI 2025 Inverse Reinforcement Learning Meets Large Language Model Alignment ACL 2025 Inverse Reinforcement Learning with Switching Rewards and History Dependency for Characterizing Animal Behaviors ICML 2025 Investigating Relational State Abstraction in Collaborative MARL AAAI 2025 IRASim: A Fine-Grained World Model for Robot Manipulation ICCV 2025 Is a Good Foundation Necessary for Efficient Reinforcement Learning? The Computational Role of the Base Model in Exploration COLT 2025 Is Prior-Free Black-Box Non-Stationary Reinforcement Learning Feasible? AISTATS 2025 Iterative Monte Carlo Tree Search for Neural Architecture Search AutoML 2025 JARVIS-VLA: Post-Training Large-Scale Vision Language Models to Play Visual Games with Keyboards and Mouse ACL 2025 JaxRobotarium: Training and Deploying Multi-Robot Policies in 10 Minutes CoRL 2025 Joint Reward and Policy Learning with Demonstrations and Human Feedback Improves Alignment ICLR 2025 KEA: Keeping Exploration Alive by Proactively Coordinating Exploration Strategies ICML 2025 KERLQA: Knowledge-Enhanced Reinforcement Learning for Question Answering in Low-resource Languages IJCNLP 2025 KineDex: Learning Tactile-Informed Visuomotor Policies via Kinesthetic Teaching for Dexterous Manipulation CoRL 2025 KineSoft: Learning Proprioceptive Manipulation Policies with Soft Robot Hands CoRL 2025 KIPPO: Koopman-Inspired Proximal Policy Optimization IJCAI 2025 Knowledge Retention in Continual Model-Based Reinforcement Learning ICML 2025 KoopMotion: Learning Almost Divergence Free Koopman Flow Fields for Motion Planning CoRL 2025 L2M2: A Hierarchical Framework Integrating Large Language Model and Multi-agent Reinforcement Learning IJCAI 2025 Langevin Soft Actor-Critic: Efficient Exploration through Uncertainty-Driven Critic Learning ICLR 2025 LangTime: A Language-Guided Unified Model for Time Series Forecasting with Proximal Policy Optimization ICML 2025 Language Models as Implicit Tree Search ICML 2025 LangWBC: Language-directed Humanoid Whole-Body Control via End-to-end Learning RSS 2025 LARM: Large Auto-Regressive Model for Long-Horizon Embodied Intelligence ICML 2025 Latent Action Learning Requires Supervision in the Presence of Distractors ICML 2025