Reinforcement Learning

Two Time-scale Off-Policy TD Learning: Non-asymptotic Analysis over Markovian Samples NeurIPS 2019 Understanding Teacher Gaze Patterns for Robot Learning CoRL 2019 Understanding the Impact of Entropy on Policy Optimization ICML 2019 Unified Policy Optimization for Robust Reinforcement Learning ACML 2019 Universal Successor Features Approximators ICLR 2019 Unobserved Is Not Equal to Non-existent: Using Gaussian Processes to Infer Immediate Rewards Across Contexts IJCAI 2019 Unsupervised Context Rewriting for Open Domain Conversation EMNLP 2019 Unsupervised Control Through Non-Parametric Discriminative Rewards ICLR 2019 Using a Logarithmic Mapping to Enable Lower Discount Factors in Reinforcement Learning NeurIPS 2019 Using Natural Language for Reward Shaping in Reinforcement Learning IJCAI 2019 Using Semantic Similarity as Reward for Reinforcement Learning in Sentence Generation ACL 2019 Using Simulation to Improve Sample-Efficiency of Bayesian Optimization for Bipedal Robots JMLR 2019 Value Function in Frequency Domain and the Characteristic Value Iteration Algorithm NeurIPS 2019 Value Function Transfer for Deep Multi-Agent Reinforcement Learning Based on N-Step Returns IJCAI 2019 Value Iteration Networks on Multiple Levels of Abstraction RSS 2019 Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning NeurIPS 2019 Value Propagation Networks ICLR 2019 Variance Reduced Policy Evaluation with Smooth Function Approximation NeurIPS 2019 Variance Reduction for Reinforcement Learning in Input-Driven Environments ICLR 2019 Variance Reduction in Monte Carlo Counterfactual Regret Minimization (VR-MCCFR) for Extensive Form Games Using Baselines AAAI 2019 Variational Inference MPC for Bayesian Model-based Reinforcement Learning CoRL 2019 Variational Optimization Based Reinforcement Learning for Infinite Dimensional Stochastic Systems CoRL 2019 Variational Regret Bounds for Reinforcement Learning UAI 2019 Verifiable and Interpretable Reinforcement Learning through Program Synthesis AAAI 2019 VidyutVanika: A Reinforcement Learning Based Broker Agent for a Power Trading Competition AAAI 2019