Reinforcement Learning

Active Exploration in Markov Decision Processes AISTATS 2019 Actor-Attention-Critic for Multi-Agent Reinforcement Learning ICML 2019 Actor-Critic Instance Segmentation CVPR 2019 AdaFrame: Adaptive Frame Selection for Fast Video Recognition CVPR 2019 Adaptive Auxiliary Task Weighting for Reinforcement Learning NeurIPS 2019 Adaptive Optimization Framework for Control of Multi-Agent Systems AAAI 2019 Adaptive Temporal-Difference Learning for Policy Evaluation with Per-State Uncertainty Estimates NeurIPS 2019 Addressing Sample Complexity in Visual Tasks Using HER and Hallucinatory GANs NeurIPS 2019 A Deep Reinforced Sequence-to-Set Model for Multi-Label Classification ACL 2019 A Deep Reinforcement Learning Based Multi-Step Coarse to Fine Question Answering (MSCQA) System AAAI 2019 A Deep Reinforcement Learning Framework for Rebalancing Dockless Bike Sharing Systems AAAI 2019 A Deep Reinforcement Learning Perspective on Internet Congestion Control ICML 2019 A Divergence Minimization Perspective on Imitation Learning Methods CoRL 2019 A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer IJCAI 2019 Advantage Amplification in Slowly Evolving Latent-State Environments IJCAI 2019 Adversarial Active Exploration for Inverse Dynamics Model Learning CoRL 2019 Adversarial Actor-Critic Method for Task and Motion Planning Problems Using Planning Experience AAAI 2019 Adversarial Imitation Learning from Incomplete Demonstrations IJCAI 2019 A Family of Robust Stochastic Operators for Reinforcement Learning NeurIPS 2019 A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation NeurIPS 2019 A Geometric Perspective on Optimal Representations for Reinforcement Learning NeurIPS 2019 A Hierarchical Framework for Relation Extraction with Reinforcement Learning AAAI 2019 A Hierarchical Reinforced Sequence Operation Method for Unsupervised Text Style Transfer ACL 2019 A Kernel Loss for Solving the Bellman Equation NeurIPS 2019 Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees ICLR 2019