Deep RL

Policy Consolidation for Continual Reinforcement Learning ICML 2019 Policy Optimization with Model-Based Explorations AAAI 2019 Posterior-regularized REINFORCE for Instance Selection in Distant Supervision NAACL 2019 Predictor-Corrector Policy Optimization ICML 2019 Probabilistic Planning with Sequential Monte Carlo methods ICLR 2019 ProMP: Proximal Meta-Policy Search ICLR 2019 Propagating Uncertainty in Reinforcement Learning via Wasserstein Barycenters NeurIPS 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 Robust Blackbox Optimization for Reinforcement Learning CoRL 2019 Pun-GAN: Generative Adversarial Network for Pun Generation EMNLP 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 Randomized Value Functions via Multiplicative Normalizing Flows UAI 2019 Random Projection in Neural Episodic Control ACML 2019 Read, Watch, and Move: Reinforcement Learning for Temporally Grounding Natural Language Descriptions in Videos AAAI 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 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