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Policy Learning

2,633 papers

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Papers

Statistically Efficient Off-Policy Policy Gradients ICML 2020 Steady-State Policy Synthesis in Multichain Markov Decision Processes IJCAI 2020 Strictly Batch Imitation Learning by Energy-based Distribution Matching NeurIPS 2020 Structured Policy Iteration for Linear Quadratic Regulator ICML 2020 Stylized Text Generation: Approaches and Applications ACL 2020 Sub-policy Adaptation for Hierarchical Reinforcement Learning ICLR 2020 SVRG for Policy Evaluation with Fewer Gradient Evaluations IJCAI 2020 Task-Completion Dialogue Policy Learning via Monte Carlo Tree Search with Dueling Network EMNLP 2020 Taylor Expansion Policy Optimization ICML 2020 The Choice Function Framework for Online Policy Improvement AAAI 2020 The Unreasonable Effectiveness of Inverse Reinforcement Learning in Advancing Cancer Research AAAI 2020 Third-Person Imitation Learning via Image Difference and Variational Discriminator Bottleneck (Student Abstract) AAAI 2020 Towards High-Level Intrinsic Exploration in Reinforcement Learning IJCAI 2020 Towards Minimax Optimal Reinforcement Learning in Factored Markov Decision Processes NeurIPS 2020 Toward the Fundamental Limits of Imitation Learning NeurIPS 2020 Tree-Structured Policy Based Progressive Reinforcement Learning for Temporally Language Grounding in Video AAAI 2020 Truly Batch Model-Free Inverse Reinforcement Learning about Multiple Intentions AISTATS 2020 Unknown mixing times in apprenticeship and reinforcement learning UAI 2020 Upper Confidence Primal-Dual Reinforcement Learning for CMDP with Adversarial Loss NeurIPS 2020 Value Preserving State-Action Abstractions AISTATS 2020 Variational Adversarial Kernel Learned Imitation Learning AAAI 2020 Variational Imitation Learning with Diverse-quality Demonstrations ICML 2020 Variational Policy Gradient Method for Reinforcement Learning with General Utilities NeurIPS 2020 Verifiable RNN-Based Policies for POMDPs Under Temporal Logic Constraints IJCAI 2020 What can I do here? A Theory of Affordances in Reinforcement Learning ICML 2020