Methods

The Unreasonable Effectiveness of Inverse Reinforcement Learning in Advancing Cancer Research AAAI 2020 Thinking While Moving: Deep Reinforcement Learning with Concurrent Control ICLR 2020 Third-Person Imitation Learning via Image Difference and Variational Discriminator Bottleneck (Student Abstract) AAAI 2020 Toward A Thousand Lights: Decentralized Deep Reinforcement Learning for Large-Scale Traffic Signal Control AAAI 2020 Towards Embodied Scene Description RSS 2020 Towards General and Autonomous Learning of Core Skills: A Case Study in Locomotion CoRL 2020 Towards High-Level Intrinsic Exploration in Reinforcement Learning IJCAI 2020 Towards Minimax Optimal Reinforcement Learning in Factored Markov Decision Processes NeurIPS 2020 Towards Playing Full MOBA Games with Deep Reinforcement Learning NeurIPS 2020 Toward the Fundamental Limits of Imitation Learning NeurIPS 2020 Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning NeurIPS 2020 Transfer Reinforcement Learning Using Output-Gated Working Memory AAAI 2020 Transfer Value Iteration Networks AAAI 2020 Tree-Structured Policy Based Progressive Reinforcement Learning for Temporally Language Grounding in Video AAAI 2020 Truly Batch Model-Free Inverse Reinforcement Learning about Multiple Intentions AISTATS 2020 Trust the Model When It Is Confident: Masked Model-based Actor-Critic NeurIPS 2020 UNAS: Differentiable Architecture Search Meets Reinforcement Learning CVPR 2020 Uncertainty-Aware Action Advising for Deep Reinforcement Learning Agents AAAI 2020 Understanding the Curse of Horizon in Off-Policy Evaluation via Conditional Importance Sampling ICML 2020 Universal Value Iteration Networks: When Spatially-Invariant Is Not Universal AAAI 2020 Unknown mixing times in apprenticeship and reinforcement learning UAI 2020 Unpaired Image Enhancement Featuring Reinforcement-Learning-Controlled Image Editing Software AAAI 2020 Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation CVPR 2020 Upper Confidence Primal-Dual Reinforcement Learning for CMDP with Adversarial Loss NeurIPS 2020 Value Preserving State-Action Abstractions AISTATS 2020