Reinforcement Learning

Policy and Value Transfer in Lifelong Reinforcement Learning ICML 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 Problem Dependent Reinforcement Learning Bounds Which Can Identify Bandit Structure in MDPs ICML 2018 Programmatically Interpretable Reinforcement Learning ICML 2018 Progress & Compress: A scalable framework for continual learning ICML 2018 Q-learning with Nearest Neighbors NeurIPS 2018 QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning ICML 2018 Randomized Prior Functions for Deep Reinforcement Learning NeurIPS 2018 Recurrent Deep Multiagent Q-Learning for Autonomous Brokers in Smart Grid IJCAI 2018 Recurrent Predictive State Policy Networks ICML 2018 Recurrent World Models Facilitate Policy Evolution NeurIPS 2018 REFUEL: Exploring Sparse Features in Deep Reinforcement Learning for Fast Disease Diagnosis NeurIPS 2018 Regret Bounds for Robust Adaptive Control of the Linear Quadratic Regulator NeurIPS 2018 Regret Minimization for Partially Observable Deep Reinforcement Learning ICML 2018 Reinforced Continual Learning NeurIPS 2018 Reinforced Extractive Summarization with Question-Focused Rewards ACL 2018