Deep RL

The Mean-Squared Error of Double Q-Learning NeurIPS 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 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 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 Universal Value Iteration Networks: When Spatially-Invariant Is Not Universal AAAI 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 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 V-MPO: On-Policy Maximum a Posteriori Policy Optimization for Discrete and Continuous Control ICLR 2020 Weakly-Supervised Reinforcement Learning for Controllable Behavior NeurIPS 2020 What can I do here? A Theory of Affordances in Reinforcement Learning ICML 2020 What Can Learned Intrinsic Rewards Capture? ICML 2020