reinforcement learning

Value Preserving State-Action Abstractions AISTATS 2020 Variance-Reduced Off-Policy TDC Learning: Non-Asymptotic Convergence Analysis NeurIPS 2020 Variance Reduction for Evolution Strategies via Structured Control Variates AISTATS 2020 Variational Recurrent Models for Solving Partially Observable Control Tasks ICLR 2020 VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning ICLR 2020 Vision-Language Navigation With Self-Supervised Auxiliary Reasoning Tasks CVPR 2020 Visual Reaction: Learning to Play Catch With Your Drone CVPR 2020 Warren at SemEval-2020 Task 4: ALBERT and Multi-Task Learning for Commonsense Validation SemEval 2020 Watch, Try, Learn: Meta-Learning from Demonstrations and Rewards ICLR 2020 Weakly-Supervised Reinforcement Learning for Controllable Behavior NeurIPS 2020 Weak Supervision for Fake News Detection via Reinforcement Learning AAAI 2020 What Can Learned Intrinsic Rewards Capture? ICML 2020 What Did You Think Would Happen? Explaining Agent Behaviour through Intended Outcomes NeurIPS 2020 What Makes A Good Story? Designing Composite Rewards for Visual Storytelling AAAI 2020 Working Memory Graphs ICML 2020 Zero-shot Text Classification via Reinforced Self-training ACL 2020 Accelerated Reinforcement Learning for Sentence Generation by Vocabulary Prediction NAACL 2019 ACE: An Actor Ensemble Algorithm for Continuous Control with Tree Search AAAI 2019 A Composable Specification Language for Reinforcement Learning Tasks NeurIPS 2019 A Continuous Actor-Critic Reinforcement Learning Approach to Flocking with Fixed-Wing UAVs ACML 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 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