Methods

Distributional reinforcement learning with linear function approximation AISTATS 2019 Distributional Reward Decomposition for Reinforcement Learning NeurIPS 2019 Divergence-Augmented Policy Optimization NeurIPS 2019 Diverse Exploration via Conjugate Policies for Policy Gradient Methods AAAI 2019 Diversity-Driven Extensible Hierarchical Reinforcement Learning AAAI 2019 Diversity-Inducing Policy Gradient: Using Maximum Mean Discrepancy to Find a Set of Diverse Policies IJCAI 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 DualDICE: Behavior-Agnostic Estimation of Discounted Stationary Distribution Corrections NeurIPS 2019 Dynamic Electronic Toll Collection via Multi-Agent Deep Reinforcement Learning with Edge-Based Graph Convolutional Networks IJCAI 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 Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control NeurIPS 2019 Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables 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 Emergent Coordination Through Competition ICLR 2019 EMI: Exploration with Mutual Information ICML 2019 End-to-end Deep Reinforcement Learning Based Coreference Resolution ACL 2019 End-To-End Robotic Reinforcement Learning without Reward Engineering RSS 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