Reinforcement Learning

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 Automatic Curriculum Learning through Value Disagreement NeurIPS 2020 AutoQ: Automated Kernel-Wise Neural Network Quantization ICLR 2020 Auxiliary Tasks Speed Up Learning Point Goal Navigation CoRL 2020 A Variational Perturbative Approach to Planning in Graph-Based Markov Decision Processes AAAI 2020 AvE: Assistance via Empowerment NeurIPS 2020 AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human Videos RSS 2020 Avoiding Side Effects By Considering Future Tasks NeurIPS 2020 BabyWalk: Going Farther in Vision-and-Language Navigation by Taking Baby Steps ACL 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 Balancing Learning Speed and Stability in Policy Gradient via Adaptive Exploration AISTATS 2020 Balancing Quality and Human Involvement: An Effective Approach to Interactive Neural Machine Translation AAAI 2020 Bandit Linear Control NeurIPS 2020