Deep RL

Harnessing Distribution Ratio Estimators for Learning Agents with Quality and Diversity CoRL 2020 Hierarchical Average Reward Policy Gradient Algorithms (Student Abstract) AAAI 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 High Acceleration Reinforcement Learning for Real-World Juggling with Binary Rewards CoRL 2020 High-Throughput Synchronous Deep RL NeurIPS 2020 History-Gradient Aided Batch Size Adaptation for Variance Reduced Algorithms ICML 2020 How Should an Agent Practice? AAAI 2020 How to Learn a Useful Critic? Model-based Action-Gradient-Estimator Policy Optimization NeurIPS 2020 I²HRL: Interactive Influence-based Hierarchical Reinforcement Learning IJCAI 2020 I4R: Promoting Deep Reinforcement Learning by the Indicator for Expressive Representations IJCAI 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 Improving Generalization in Meta Reinforcement Learning using Learned Objectives ICLR 2020 Improving Generalization in Reinforcement Learning with Mixture Regularization NeurIPS 2020 Improving Neural Relation Extraction with Positive and Unlabeled Learning AAAI 2020 Improving Tandem Mass Spectra Analysis with Hierarchical Learning IJCAI 2020 Incremental Text to Speech for Neural Sequence-to-Sequence Models Using Reinforcement Learning Interspeech 2020 Induction of Subgoal Automata for Reinforcement Learning AAAI 2020 Inductive-bias-driven Reinforcement Learning For Efficient Schedules in Heterogeneous Clusters ICML 2020 Inferring DQN structure for high-dimensional continuous control ICML 2020 Information Theoretic Model Predictive Q-Learning L4DC 2020