Reinforcement Learning

On Learning Intrinsic Rewards for Policy Gradient Methods NeurIPS 2018 On Oracle-Efficient PAC RL with Rich Observations NeurIPS 2018 On Q-learning Convergence for Non-Markov Decision Processes IJCAI 2018 Open Loop Execution of Tree-Search Algorithms IJCAI 2018 Organizing Experience: a Deeper Look at Replay Mechanisms for Sample-Based Planning in Continuous State Domains IJCAI 2018 Path Consistency Learning in Tsallis Entropy Regularized MDPs ICML 2018 Path-Level Network Transformation for Efficient Architecture Search ICML 2018 Personalized Dynamics Models for Adaptive Assistive Navigation Systems CoRL 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 Policy and Value Transfer in Lifelong Reinforcement Learning ICML 2018 Policy Evaluation and Optimization with Continuous Treatments AISTATS 2018 Policy Gradient as a Proxy for Dynamic Oracles in Constituency Parsing ACL 2018 Policy Optimization as Wasserstein Gradient Flows ICML 2018 Policy Optimization via Importance Sampling NeurIPS 2018 Policy Optimization with Demonstrations ICML 2018 Practical Block-Wise Neural Network Architecture Generation CVPR 2018 Practical Contextual Bandits with Regression Oracles ICML 2018 Programmatically Interpretable Reinforcement Learning ICML 2018 Q-learning with Nearest Neighbors NeurIPS 2018 Ranking Sentences for Extractive Summarization with Reinforcement Learning NAACL 2018 Recurrent Deep Multiagent Q-Learning for Autonomous Brokers in Smart Grid IJCAI 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 Co-Training NAACL 2018