Reinforcement Learning

PODS: Policy Optimization via Differentiable Simulation ICML 2021 Policy Caches with Successor Features ICML 2021 Policy Finetuning: Bridging Sample-Efficient Offline and Online Reinforcement Learning NeurIPS 2021 Policy Gradient Bayesian Robust Optimization for Imitation Learning ICML 2021 Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning ICML 2021 Policy Learning Using Weak Supervision NeurIPS 2021 Policy Learning with Constraints in Model-free Reinforcement Learning: A Survey IJCAI 2021 Policy Optimization as Online Learning with Mediator Feedback AAAI 2021 Policy Optimization in Adversarial MDPs: Improved Exploration via Dilated Bonuses NeurIPS 2021 Policy Teaching in Reinforcement Learning via Environment Poisoning Attacks JMLR 2021 Policy Transfer across Visual and Dynamics Domain Gaps via Iterative Grounding RSS 2021 Posterior Value Functions: Hindsight Baselines for Policy Gradient Methods ICML 2021 Potential iLQR: A Potential-Minimizing Controller for Planning Multi-Agent Interactive Trajectories RSS 2021 Predicting Human Scanpaths in Visual Question Answering CVPR 2021 Prediction and generalisation over directed actions by grid cells ICLR 2021 Preferential Temporal Difference Learning ICML 2021 Primal-dual Learning for the Model-free Risk-constrained Linear Quadratic Regulator L4DC 2021 Primal Wasserstein Imitation Learning ICLR 2021 Principled Exploration via Optimistic Bootstrapping and Backward Induction ICML 2021 Prioritized Level Replay ICML 2021 Probabilistic Discriminative Models address the Tactile Perceptual Aliasing Problem RSS 2021 Problem-Complexity Adaptive Model Selection for Stochastic Linear Bandits AISTATS 2021 Procedure Planning in Instructional Videos via Contextual Modeling and Model-Based Policy Learning ICCV 2021 Profiling News Discourse Structure Using Explicit Subtopic Structures Guided Critics EMNLP 2021 Proper Value Equivalence NeurIPS 2021