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Reinforcement Learning

9,982 papers (145 classified directly here)

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Papers (including subtopics)

Online MDP with Prototypes Information: A Robust Adaptive Approach AAAI 2025 Online Planning in MDPs with Stochastic Durative Actions IJCAI 2025 Online Pre-Training for Offline-to-Online Reinforcement Learning ICML 2025 Online Reinforcement Learning in Non-Stationary Context-Driven Environments ICLR 2025 Online Robust Reinforcement Learning Through Monte-Carlo Planning ICML 2025 Online-to-Offline RL for Agent Alignment ICLR 2025 On-Policy Algorithms for Continual Reinforcement Learning (Student Abstract) AAAI 2025 On-Policy Self-Alignment with Fine-grained Knowledge Feedback for Hallucination Mitigation ACL 2025 On Rollouts in Model-Based Reinforcement Learning ICLR 2025 On the Convergence of Continuous Single-timescale Actor-critic ICML 2025 On the Convergence of Min-Max Langevin Dynamics and Algorithm COLT 2025 On the Convergence of Projected Policy Gradient for Any Constant Step Sizes JMLR 2025 On the Effects of Fine-tuning Language Models for Text-Based Reinforcement Learning COLING 2025 On the Robustness of Reward Models for Language Model Alignment ICML 2025 Open-Theatre: An Open-Source Toolkit for LLM-based Interactive Drama EMNLP 2025 OpenWebVoyager: Building Multimodal Web Agents via Iterative Real-World Exploration, Feedback and Optimization ACL 2025 Open-World Reinforcement Learning over Long Short-Term Imagination ICLR 2025 Optimal and learned algorithms for the online list update problem with Zipfian accesses ALT 2025 Optimal and Practical Batched Linear Bandit Algorithm ICML 2025 Optimally Solving Simultaneous-Move Dec-POMDPs: The Sequential Central Planning Approach AAAI 2025 Optimal Non-Asymptotic Rates of Value Iteration for Average-Reward Markov Decision Processes ICLR 2025 Optimal Viewpoint Selection for Autonomous Photography Using Reinforcement Learning AAAI 2025 Optimising Spatial Teamwork Under Uncertainty AAAI 2025 Optimistically Optimistic Exploration for Provably Efficient Infinite-Horizon Reinforcement and Imitation Learning COLT 2025 Optimistic Q-learning for average reward and episodic reinforcement learning extended abstract COLT 2025