Reinforcement Learning

Deep Reinforcement Learning with Distributional Semantic Rewards for Abstractive Summarization EMNLP 2019 Deep reinforcement learning with relational inductive biases ICLR 2019 Deep Value Model Predictive Control CoRL 2019 Deictic Image Mapping: An Abstraction for Learning Pose Invariant Manipulation Policies AAAI 2019 DeltaDou: Expert-level Doudizhu AI through Self-play IJCAI 2019 Densely Supervised Hierarchical Policy-Value Network for Image Paragraph Generation IJCAI 2019 Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems AISTATS 2019 Deriving Subgoals Autonomously to Accelerate Learning in Sparse Reward Domains AAAI 2019 Determinantal Reinforcement Learning AAAI 2019 DHER: Hindsight Experience Replay for Dynamic Goals ICLR 2019 Diagnosing Bottlenecks in Deep Q-learning Algorithms ICML 2019 Dialogue Generation: From Imitation Learning to Inverse Reinforcement Learning AAAI 2019 Differentiable Algorithm Networks for Composable Robot Learning RSS 2019 Dimension-Wise Importance Sampling Weight Clipping for Sample-Efficient Reinforcement Learning ICML 2019 Discovering Options for Exploration by Minimizing Cover Time ICML 2019 Discovery of Useful Questions as Auxiliary Tasks NeurIPS 2019 Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning ICLR 2019 Distilling Policy Distillation AISTATS 2019 Distributional Multivariate Policy Evaluation and Exploration with the Bellman GAN ICML 2019 Distributional Policy Optimization: An Alternative Approach for Continuous Control NeurIPS 2019 Distributional Reinforcement Learning for Efficient Exploration ICML 2019 Distributional reinforcement learning with linear function approximation AISTATS 2019 Distributional Reward Decomposition for Reinforcement Learning NeurIPS 2019 Divergence-Augmented Policy Optimization NeurIPS 2019 Diverse Exploration via Conjugate Policies for Policy Gradient Methods AAAI 2019