Deep RL

Target-Based Temporal-Difference Learning ICML 2019 Task-Agnostic Dynamics Priors for Deep Reinforcement Learning ICML 2019 Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments CoRL 2019 Teaching Robots to Interact with Humans in a Smart Environment IJCAI 2019 The Expected-Length Model of Options IJCAI 2019 Theoretical Analysis of Efficiency and Robustness of Softmax and Gap-Increasing Operators in Reinforcement Learning AISTATS 2019 The Utility of Sparse Representations for Control in Reinforcement Learning AAAI 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 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-wise Control Variates for Variance Reduction in Policy Gradient Methods CoRL 2019 Transfer in Deep Reinforcement Learning Using Knowledge Graphs EMNLP 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 Unified Policy Optimization for Robust Reinforcement Learning ACML 2019 Universal Successor Features Approximators ICLR 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