Applications

Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning AISTATS 2021 A Proposal: Interactively Learning to Summarise Timelines by Reinforcement Learning ACL 2021 A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms JMLR 2021 Assisted Robust Reward Design CoRL 2021 A System for General In-Hand Object Re-Orientation CoRL 2021 Augmenting Policy Learning with Routines Discovered from a Single Demonstration AAAI 2021 A Universal 2-state n-action Adaptive Management Solver AAAI 2021 Automatic Data Augmentation for Generalization in Reinforcement Learning NeurIPS 2021 Autonomous Reinforcement Learning via Subgoal Curricula NeurIPS 2021 Auxiliary Tasks and Exploration Enable ObjectGoal Navigation ICCV 2021 Auxiliary Tasks for Efficient Learning of Point-Goal Navigation WACV 2021 Average-Reward Learning and Planning with Options NeurIPS 2021 Average-Reward Reinforcement Learning with Trust Region Methods IJCAI 2021 AW-Opt: Learning Robotic Skills with Imitation andReinforcement at Scale CoRL 2021 A Workflow for Offline Model-Free Robotic Reinforcement Learning CoRL 2021 Back to Reality for Imitation Learning CoRL 2021 BC-Z: Zero-Shot Task Generalization with Robotic Imitation Learning CoRL 2021 Better Aggregation in Test-Time Augmentation ICCV 2021 Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes CoRL 2021 Blind Bipedal Stair Traversal via Sim-to-Real Reinforcement Learning RSS 2021 Boosting Offline Reinforcement Learning with Residual Generative Modeling IJCAI 2021 Bootstrapping Fitted Q-Evaluation for Off-Policy Inference ICML 2021 BooVI: Provably Efficient Bootstrapped Value Iteration NeurIPS 2021 Breaking the Sample Complexity Barrier to Regret-Optimal Model-Free Reinforcement Learning NeurIPS 2021 Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning NeurIPS 2021