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Reinforcement Learning

1,698 papers

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Papers

Toward A Thousand Lights: Decentralized Deep Reinforcement Learning for Large-Scale Traffic Signal Control AAAI 2020 Tree-Structured Policy Based Progressive Reinforcement Learning for Temporally Language Grounding in Video AAAI 2020 Uncertainty-Aware Action Advising for Deep Reinforcement Learning Agents AAAI 2020 Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation CVPR 2020 Variational Recurrent Models for Solving Partially Observable Control Tasks ICLR 2020 Visual Reaction: Learning to Play Catch With Your Drone CVPR 2020 V-MPO: On-Policy Maximum a Posteriori Policy Optimization for Discrete and Continuous Control ICLR 2020 Watch, Try, Learn: Meta-Learning from Demonstrations and Rewards ICLR 2020 A Comparative Analysis of Expected and Distributional Reinforcement Learning AAAI 2019 Actor-Critic Instance Segmentation CVPR 2019 Adaptive Auxiliary Task Weighting for Reinforcement Learning NeurIPS 2019 A Geometric Perspective on Optimal Representations for Reinforcement Learning NeurIPS 2019 A Hierarchical Framework for Relation Extraction with Reinforcement Learning AAAI 2019 A neurally plausible model learns successor representations in partially observable environments NeurIPS 2019 A Regularized Approach to Sparse Optimal Policy in Reinforcement Learning NeurIPS 2019 A Structured Prediction Approach for Generalization in Cooperative Multi-Agent Reinforcement Learning NeurIPS 2019 A Theory of State Abstraction for Reinforcement Learning AAAI 2019 Attention-Aware Sampling via Deep Reinforcement Learning for Action Recognition AAAI 2019 Attention, Learn to Solve Routing Problems! ICLR 2019 A Unified Bellman Optimality Principle Combining Reward Maximization and Empowerment NeurIPS 2019 Better Exploration with Optimistic Actor Critic NeurIPS 2019 Bootstrap Estimated Uncertainty of the Environment Model for Model-Based Reinforcement Learning AAAI 2019 Combined Reinforcement Learning via Abstract Representations AAAI 2019 Control What You Can: Intrinsically Motivated Task-Planning Agent NeurIPS 2019 Data Efficient Reinforcement Learning for Legged Robots CoRL 2019