Reinforcement Learning

QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning ICML 2019 Quantifying Generalization in Reinforcement Learning ICML 2019 Quasi-Newton Trust Region Policy Optimization CoRL 2019 QUOTA: The Quantile Option Architecture for Reinforcement Learning AAAI 2019 Random Expert Distillation: Imitation Learning via Expert Policy Support Estimation ICML 2019 Randomized Adversarial Imitation Learning for Autonomous Driving IJCAI 2019 Randomized Value Functions via Multiplicative Normalizing Flows UAI 2019 Random Projection in Neural Episodic Control ACML 2019 Reachable Space Characterization of Markov Decision Processes with Time Variability RSS 2019 Reading Like HER: Human Reading Inspired Extractive Summarization EMNLP 2019 Read, Watch, and Move: Reinforcement Learning for Temporally Grounding Natural Language Descriptions in Videos AAAI 2019 Real-Time Information-Theoretic Exploration with Gaussian Mixture Model Maps RSS 2019 Real-Time Reinforcement Learning NeurIPS 2019 Real-time tree search with pessimistic scenarios: Winning the NeurIPS 2018 Pommerman Competition ACML 2019 Recall Traces: Backtracking Models for Efficient Reinforcement Learning ICLR 2019 Receding Horizon Curiosity CoRL 2019 Recent Advances in Imitation Learning from Observation IJCAI 2019 Recommendation as a Communication Game: Self-Supervised Bot-Play for Goal-oriented Dialogue EMNLP 2019 Reconciling λ-Returns with Experience Replay NeurIPS 2019 Recurrent Existence Determination Through Policy Optimization IJCAI 2019 Recurrent Experience Replay in Distributed Reinforcement Learning ICLR 2019 Regret Bounds for Learning State Representations in Reinforcement Learning NeurIPS 2019 Regret Minimization for Reinforcement Learning by Evaluating the Optimal Bias Function NeurIPS 2019 Regret Minimization for Reinforcement Learning with Vectorial Feedback and Complex Objectives NeurIPS 2019 Regular Boardgames AAAI 2019