Deep RL

Diverse Exploration via Conjugate Policies for Policy Gradient Methods AAAI 2019 Diversity-Driven Extensible Hierarchical Reinforcement Learning AAAI 2019 Diversity is All You Need: Learning Skills without a Reward Function ICLR 2019 DIVINE: A Generative Adversarial Imitation Learning Framework for Knowledge Graph Reasoning EMNLP 2019 DOM-Q-NET: Grounded RL on Structured Language ICLR 2019 Dynamic Experience Replay CoRL 2019 Dynamic Measurement Scheduling for Event Forecasting using Deep RL ICML 2019 Dynamic Vehicle Traffic Control Using Deep Reinforcement Learning in Automated Material Handling System AAAI 2019 Dynamic Weights in Multi-Objective Deep Reinforcement Learning ICML 2019 Ego-Pose Estimation and Forecasting As Real-Time PD Control ICCV 2019 ELF OpenGo: an analysis and open reimplementation of AlphaZero ICML 2019 EMI: Exploration with Mutual Information ICML 2019 End-to-end Deep Reinforcement Learning Based Coreference Resolution ACL 2019 Energy-Efficient Slithering Gait Exploration for a Snake-Like Robot Based on Reinforcement Learning IJCAI 2019 Enhanced Bayesian Compression via Deep Reinforcement Learning CVPR 2019 Entity Abstraction in Visual Model-Based Reinforcement Learning CoRL 2019 Episodic Curiosity through Reachability ICLR 2019 Epsilon-BMC: A Bayesian Ensemble Approach to Epsilon-Greedy Exploration in Model-Free Reinforcement Learning UAI 2019 Evaluating Rewards for Question Generation Models NAACL 2019 Experience Replay for Continual Learning NeurIPS 2019 Experience Replay Optimization IJCAI 2019 Explicit Explore-Exploit Algorithms in Continuous State Spaces NeurIPS 2019 Explicit Planning for Efficient Exploration in Reinforcement Learning NeurIPS 2019 Exploiting the Sign of the Advantage Function to Learn Deterministic Policies in Continuous Domains IJCAI 2019 Exploration Bonus for Regret Minimization in Discrete and Continuous Average Reward MDPs NeurIPS 2019