Deep RL

AttendLight: Universal Attention-Based Reinforcement Learning Model for Traffic Signal Control NeurIPS 2020 Attention-Gated Brain Propagation: How the brain can implement reward-based error backpropagation NeurIPS 2020 Attention-Privileged Reinforcement Learning CoRL 2020 Attentive Experience Replay AAAI 2020 Attractive or Faithful? Popularity-Reinforced Learning for Inspired Headline Generation AAAI 2020 A Two-level Reinforcement Learning Algorithm for Ambiguous Mean-variance Portfolio Selection Problem IJCAI 2020 Augmenting GAIL with BC for sample efficient imitation learning CoRL 2020 A Unified Switching System Perspective and Convergence Analysis of Q-Learning Algorithms NeurIPS 2020 A Unifying View of Optimism in Episodic Reinforcement Learning NeurIPS 2020 Automated curriculum generation through setter-solver interactions ICLR 2020 Automatic Curriculum Learning For Deep RL: A Short Survey IJCAI 2020 AutoQ: Automated Kernel-Wise Neural Network Quantization ICLR 2020 AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human Videos RSS 2020 BAIL: Best-Action Imitation Learning for Batch Deep Reinforcement Learning NeurIPS 2020 Balancing Quality and Human Involvement: An Effective Approach to Interactive Neural Machine Translation AAAI 2020 Bandit Linear Control NeurIPS 2020 BAR — A Reinforcement Learning Agent for Bounding-Box Automated Refinement AAAI 2020 Bayes-Adaptive Monte-Carlo Planning and Learning for Goal-Oriented Dialogues AAAI 2020 Bayesian Reinforcement Learning via Deep, Sparse Sampling AISTATS 2020 Behaviour Suite for Reinforcement Learning ICLR 2020 Be Relevant, Non-Redundant, and Timely: Deep Reinforcement Learning for Real-Time Event Summarization AAAI 2020 Bias no more: high-probability data-dependent regret bounds for adversarial bandits and MDPs NeurIPS 2020 Bidirectional Model-based Policy Optimization ICML 2020 Bi-Level Actor-Critic for Multi-Agent Coordination AAAI 2020 Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning ICML 2020