Reinforcement Learning

Hierarchical Average Reward Policy Gradient Algorithms (Student Abstract) AAAI 2020 Hierarchical Decomposition of Nonlinear Dynamics and Control for System Identification and Policy Distillation L4DC 2020 Hierarchically Decoupled Imitation For Morphological Transfer ICML 2020 Hierarchical Reinforcement Learning for Open-Domain Dialog AAAI 2020 Hierarchical Reinforcement Learning for Pedagogical Policy Induction (Extended Abstract) IJCAI 2020 Hierarchical Robot Navigation in Novel Environments using Rough 2-D Maps CoRL 2020 High Acceleration Reinforcement Learning for Real-World Juggling with Binary Rewards CoRL 2020 High-Dimensional Contextual Policy Search with Unknown Context Rewards using Bayesian Optimization NeurIPS 2020 High-Throughput Synchronous Deep RL NeurIPS 2020 History-Gradient Aided Batch Size Adaptation for Variance Reduced Algorithms ICML 2020 How do fair decisions fare in long-term qualification? NeurIPS 2020 How Should an Agent Practice? AAAI 2020 How to Learn a Useful Critic? Model-based Action-Gradient-Estimator Policy Optimization NeurIPS 2020 Human-centric dialog training via offline reinforcement learning EMNLP 2020 Hybrid Learning for Multi-agent Cooperation with Sub-optimal Demonstrations IJCAI 2020 I²HRL: Interactive Influence-based Hierarchical Reinforcement Learning IJCAI 2020 I4R: Promoting Deep Reinforcement Learning by the Indicator for Expressive Representations IJCAI 2020 Imitation Learning via Off-Policy Distribution Matching ICLR 2020 IMPACT: Importance Weighted Asynchronous Architectures with Clipped Target Networks ICLR 2020 Implementation Matters in Deep RL: A Case Study on PPO and TRPO ICLR 2020 Implicit Distributional Reinforcement Learning NeurIPS 2020 Implicit Generative Modeling for Efficient Exploration ICML 2020 Importance Sampling Techniques for Policy Optimization JMLR 2020 Improved Sample Complexity for Incremental Autonomous Exploration in MDPs NeurIPS 2020 Improved Vector Pruning in Exact Algorithms for Solving POMDPs UAI 2020