Reinforcement Learning

Policy Continuation with Hindsight Inverse Dynamics NeurIPS 2019 Policy Learning for Fairness in Ranking NeurIPS 2019 Policy Optimization with Model-Based Explorations AAAI 2019 Predictive Safety Network for Resource-constrained Multi-agent Systems CoRL 2019 Privacy-Preserving Q-Learning with Functional Noise in Continuous Spaces NeurIPS 2019 Projections for Approximate Policy Iteration Algorithms ICML 2019 Provably Efficient Q-learning with Function Approximation via Distribution Shift Error Checking Oracle NeurIPS 2019 Provably Efficient Q-Learning with Low Switching Cost NeurIPS 2019 Provably Global Convergence of Actor-Critic: A Case for Linear Quadratic Regulator with Ergodic Cost NeurIPS 2019 Pun-GAN: Generative Adversarial Network for Pun Generation EMNLP 2019 Quasi-Newton Trust Region Policy Optimization CoRL 2019 Querying NoSQL with Deep Learning to Answer Natural Language Questions AAAI 2019 QUOTA: The Quantile Option Architecture for Reinforcement Learning AAAI 2019 Randomized Value Functions via Multiplicative Normalizing Flows UAI 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 Receding Horizon Curiosity CoRL 2019 Recent Advances in Imitation Learning from Observation IJCAI 2019 Reconciling λ-Returns with Experience Replay NeurIPS 2019 Refining Abstraction Heuristics during Real-Time Planning AAAI 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 Regularizing Model-Based Planning with Energy-Based Models CoRL 2019