Methods

On Generalized Bellman Equations and Temporal-Difference Learning JMLR 2018 On Learning Intrinsic Rewards for Policy Gradient Methods NeurIPS 2018 Online Robust Policy Learning in the Presence of Unknown Adversaries NeurIPS 2018 On Oracle-Efficient PAC RL with Rich Observations NeurIPS 2018 On Q-learning Convergence for Non-Markov Decision Processes IJCAI 2018 Organizing Experience: a Deeper Look at Replay Mechanisms for Sample-Based Planning in Continuous State Domains IJCAI 2018 Parameter Space Noise for Exploration ICLR 2018 Paraphrase Generation with Deep Reinforcement Learning EMNLP 2018 Path Consistency Learning in Tsallis Entropy Regularized MDPs ICML 2018 Path-Level Network Transformation for Efficient Architecture Search ICML 2018 PEORL: Integrating Symbolic Planning and Hierarchical Reinforcement Learning for Robust Decision-Making IJCAI 2018 PIPPS: Flexible Model-Based Policy Search Robust to the Curse of Chaos ICML 2018 Planning and Learning with Stochastic Action Sets IJCAI 2018 PLASTIC: Prioritize Long and Short-term Information in Top-n Recommendation using Adversarial Training IJCAI 2018 Policies Modulating Trajectory Generators CoRL 2018 Policy-Conditioned Uncertainty Sets for Robust Markov Decision Processes NeurIPS 2018 Policy Evaluation and Optimization with Continuous Treatments AISTATS 2018 Policy Optimization as Wasserstein Gradient Flows ICML 2018 Policy Optimization by Genetic Distillation ICLR 2018 Policy Optimization via Importance Sampling NeurIPS 2018 Policy Optimization with Demonstrations ICML 2018 Policy Optimization with Second-Order Advantage Information IJCAI 2018 Policy Shaping and Generalized Update Equations for Semantic Parsing from Denotations EMNLP 2018 Post: Device Placement with Cross-Entropy Minimization and Proximal Policy Optimization NeurIPS 2018 Prediction Improves Simultaneous Neural Machine Translation EMNLP 2018