Methods

Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence AAAI 2020 A Self-Tuning Actor-Critic Algorithm NeurIPS 2020 A State Aggregation Approach for Solving Knapsack Problem with Deep Reinforcement Learning ACML 2020 Asymptotically Efficient Off-Policy Evaluation for Tabular Reinforcement Learning AISTATS 2020 Asynchronous Coagent Networks ICML 2020 A Tale of Two-Timescale Reinforcement Learning with the Tightest Finite-Time Bound AAAI 2020 Atari-HEAD: Atari Human Eye-Tracking and Demonstration Dataset AAAI 2020 A Theoretical Analysis of Deep Q-Learning L4DC 2020 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 A Variational Perturbative Approach to Planning in Graph-Based Markov Decision Processes AAAI 2020 AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human Videos RSS 2020 Avoiding Side Effects By Considering Future Tasks NeurIPS 2020 BAIL: Best-Action Imitation Learning for Batch Deep Reinforcement Learning NeurIPS 2020 Balancing Individual Preferences and Shared Objectives in Multiagent Reinforcement Learning IJCAI 2020