Policy Learning

Split Q Learning: Reinforcement Learning with Two-Stream Rewards IJCAI 2019 State Abstraction as Compression in Apprenticeship Learning AAAI 2019 Steady-State Policy Synthesis for Verifiable Control IJCAI 2019 Structure Learning for Safe Policy Improvement IJCAI 2019 Supervised Policy Update for Deep Reinforcement Learning ICLR 2019 Surrogate Objectives for Batch Policy Optimization in One-step Decision Making NeurIPS 2019 Switch-Based Active Deep Dyna-Q: Efficient Adaptive Planning for Task-Completion Dialogue Policy Learning AAAI 2019 Task Transfer by Preference-Based Cost Learning AAAI 2019 Teaching AI Agents Ethical Values Using Reinforcement Learning and Policy Orchestration IJCAI 2019 The Option Keyboard: Combining Skills in Reinforcement Learning NeurIPS 2019 The Termination Critic AISTATS 2019 The Value Function Polytope in Reinforcement Learning ICML 2019 To Follow or not to Follow: Selective Imitation Learning from Observations CoRL 2019 Trajectory-wise Control Variates for Variance Reduction in Policy Gradient Methods CoRL 2019 Transfer of Samples in Policy Search via Multiple Importance Sampling ICML 2019 Transfer of Temporal Logic Formulas in Reinforcement Learning IJCAI 2019 Trust Region-Guided Proximal Policy Optimization NeurIPS 2019 Understanding the Impact of Entropy on Policy Optimization ICML 2019 Unified Policy Optimization for Robust Reinforcement Learning ACML 2019 Unsupervised Control Through Non-Parametric Discriminative Rewards ICLR 2019 VIREL: A Variational Inference Framework for Reinforcement Learning NeurIPS 2019 What Should I Ask? Using Conversationally Informative Rewards for Goal-oriented Visual Dialog. ACL 2019 When to use parametric models in reinforcement learning? NeurIPS 2019 Worst Cases Policy Gradients CoRL 2019 A Bayesian Approach to Generative Adversarial Imitation Learning NeurIPS 2018