deep reinforcement learning

Obstacle Tower: A Generalization Challenge in Vision, Control, and Planning IJCAI 2019 Off-Policy Deep Reinforcement Learning by Bootstrapping the Covariate Shift AAAI 2019 Off-Policy Deep Reinforcement Learning without Exploration ICML 2019 Off-Policy Evaluation via Off-Policy Classification NeurIPS 2019 PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning CoRL 2019 Playing Card-Based RTS Games with Deep Reinforcement Learning IJCAI 2019 Playing Text-Adventure Games with Graph-Based Deep Reinforcement Learning NAACL 2019 Policy Consolidation for Continual Reinforcement Learning ICML 2019 Predictive Safety Network for Resource-constrained Multi-agent Systems CoRL 2019 Predictor-Corrector Policy Optimization ICML 2019 Quantifying Generalization in Reinforcement Learning ICML 2019 Randomized Value Functions via Multiplicative Normalizing Flows UAI 2019 Random Projection in Neural Episodic Control ACML 2019 Recent Advances in Imitation Learning from Observation IJCAI 2019 Reconciling λ-Returns with Experience Replay NeurIPS 2019 Recurrent Experience Replay in Distributed Reinforcement Learning ICLR 2019 Regularized Anderson Acceleration for Off-Policy Deep Reinforcement Learning NeurIPS 2019 Sample-Efficient Deep Reinforcement Learning via Episodic Backward Update NeurIPS 2019 SDRL: Interpretable and Data-Efficient Deep Reinforcement Learning Leveraging Symbolic Planning AAAI 2019 Seeded self-play for language learning EMNLP 2019 Simultaneously Learning Vision and Feature-Based Control Policies for Real-World Ball-In-A-Cup RSS 2019 Soft Policy Gradient Method for Maximum Entropy Deep Reinforcement Learning IJCAI 2019 Solving Continual Combinatorial Selection via Deep Reinforcement Learning IJCAI 2019 Statistics and Samples in Distributional Reinforcement Learning ICML 2019 Strategic Tasks for Explainable Reinforcement Learning AAAI 2019