Reinforcement Learning

The Option Keyboard: Combining Skills in Reinforcement Learning NeurIPS 2019 Theoretical Analysis of Efficiency and Robustness of Softmax and Gap-Increasing Operators in Reinforcement Learning AISTATS 2019 The Termination Critic AISTATS 2019 The Utility of Sparse Representations for Control in Reinforcement Learning AAAI 2019 The Value Function Polytope in Reinforcement Learning ICML 2019 Third-Person Visual Imitation Learning via Decoupled Hierarchical Controller NeurIPS 2019 Tight Regret Bounds for Model-Based Reinforcement Learning with Greedy Policies NeurIPS 2019 To Follow or not to Follow: Selective Imitation Learning from Observations CoRL 2019 Towards Better Interpretability in Deep Q-Networks AAAI 2019 Towards Governing Agent’s Efficacy: Action-Conditional $β$-VAE for Deep Transparent Reinforcement Learning ACML 2019 Towards Interpretable Reinforcement Learning Using Attention Augmented Agents NeurIPS 2019 Towards Optimal Off-Policy Evaluation for Reinforcement Learning with Marginalized Importance Sampling NeurIPS 2019 Towards Sequence-to-Sequence Reinforcement Learning for Constraint Solving with Constraint-Based Local Search AAAI 2019 Trajectory-Based Off-Policy Deep Reinforcement Learning ICML 2019 Trajectory Optimization for Cable-Driven Soft Robot Locomotion RSS 2019 Trajectory-wise Control Variates for Variance Reduction in Policy Gradient Methods CoRL 2019 Transfer in Deep Reinforcement Learning Using Knowledge Graphs EMNLP 2019 Transfer Learning for Related Reinforcement Learning Tasks via Image-to-Image Translation ICML 2019 Transfer of Samples in Policy Search via Multiple Importance Sampling ICML 2019 Transfer of Temporal Logic Formulas in Reinforcement Learning IJCAI 2019 Truly Batch Apprenticeship Learning with Deep Successor Features IJCAI 2019 Truly Proximal Policy Optimization UAI 2019 Trust Region Evolution Strategies AAAI 2019 Trust Region-Guided Proximal Policy Optimization NeurIPS 2019 Two-Timescale Networks for Nonlinear Value Function Approximation ICLR 2019