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Reinforcement Learning

9,982 papers (145 classified directly here)

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Papers (including subtopics)

Improved Variance-Aware Confidence Sets for Linear Bandits and Linear Mixture MDP NeurIPS 2021 Improved Worst-Case Regret Bounds for Randomized Least-Squares Value Iteration AAAI 2021 Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings NeurIPS 2021 Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation NAACL 2021 Improving Generalization in Meta-RL with Imaginary Tasks from Latent Dynamics Mixture NeurIPS 2021 Improving Sample Efficiency in Model-Free Reinforcement Learning from Images AAAI 2021 Improving the Morphology and Control Policy of Self-reconfiguring Modular Robots in Dynamic Environment (Student Abstract) AAAI 2021 Independence-aware Advantage Estimation IJCAI 2021 Inference-Based Deterministic Messaging For Multi-Agent Communication AAAI 2021 Inferring Time-delayed Causal Relations in POMDPs from the Principle of Independence of Cause and Mechanism IJCAI 2021 Infinite Time Horizon Safety of Bayesian Neural Networks NeurIPS 2021 Information Directed Reward Learning for Reinforcement Learning NeurIPS 2021 Information is Power: Intrinsic Control via Information Capture NeurIPS 2021 Instabilities of Offline RL with Pre-Trained Neural Representation ICML 2021 Instance-Dependent Complexity of Contextual Bandits and Reinforcement Learning: A Disagreement-Based Perspective COLT 2021 Intelligent and Learning Agents: Four Investigations IJCAI 2021 Interaction Considerations in Learning from Humans IJCAI 2021 Interactive Learning from Activity Description ICML 2021 Interactive Reinforcement Learning for Table Balancing Robot ACL 2021 Interesting Object, Curious Agent: Learning Task-Agnostic Exploration NeurIPS 2021 Inter-Task Similarity for Lifelong Reinforcement Learning in Heterogeneous Tasks IJCAI 2021 Introduction to Machine Learning with Robots and Playful Learning AAAI 2021 Invariant Causal Imitation Learning for Generalizable Policies NeurIPS 2021 Invariant Policy Optimization: Towards Stronger Generalization in Reinforcement Learning L4DC 2021 Inverse Constrained Reinforcement Learning ICML 2021