Reinforcement Learning

Sequential Patient Recruitment and Allocation for Adaptive Clinical Trials AISTATS 2019 Shaping Belief States with Generative Environment Models for RL NeurIPS 2019 Sharing Experience in Multitask Reinforcement Learning IJCAI 2019 ShrinkML: End-to-End ASR Model Compression Using Reinforcement Learning Interspeech 2019 Simpler and Faster Learning of Adaptive Policies for Simultaneous Translation EMNLP 2019 Sim-To-Real via Sim-To-Sim: Data-Efficient Robotic Grasping via Randomized-To-Canonical Adaptation Networks CVPR 2019 Simultaneously Learning Vision and Feature-Based Control Policies for Real-World Ball-In-A-Cup RSS 2019 SlateQ: A Tractable Decomposition for Reinforcement Learning with Recommendation Sets IJCAI 2019 SME-Net: Sparse Motion Estimation for Parametric Video Prediction Through Reinforcement Learning ICCV 2019 Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning ICML 2019 Social Reinforcement Learning to Combat Fake News Spread UAI 2019 Soft Policy Gradient Method for Maximum Entropy Deep Reinforcement Learning IJCAI 2019 Soft Q-Learning with Mutual-Information Regularization ICLR 2019 SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning ICML 2019 Solving Continual Combinatorial Selection via Deep Reinforcement Learning IJCAI 2019 Solving Partially Observable Stochastic Games with Public Observations AAAI 2019 Speech Driven Backchannel Generation Using Deep Q-Network for Enhancing Engagement in Human-Robot Interaction Interspeech 2019 SplitNet: Sim2Sim and Task2Task Transfer for Embodied Visual Navigation ICCV 2019 Split Q Learning: Reinforcement Learning with Two-Stream Rewards IJCAI 2019 Spot and Learn: A Maximum-Entropy Patch Sampler for Few-Shot Image Classification CVPR 2019 Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction NeurIPS 2019 State Abstraction as Compression in Apprenticeship Learning AAAI 2019 State-Augmentation Transformations for Risk-Sensitive Reinforcement Learning AAAI 2019 Statistics and Samples in Distributional Reinforcement Learning ICML 2019 Staying up to Date with Online Content Changes Using Reinforcement Learning for Scheduling NeurIPS 2019