Applications

Dimensionality Reduction and Prioritized Exploration for Policy Search AISTATS 2022 Direct Behavior Specification via Constrained Reinforcement Learning ICML 2022 Discovering Generalizable Spatial Goal Representations via Graph-based Active Reward Learning ICML 2022 Discrete Compositional Representations as an Abstraction for Goal Conditioned Reinforcement Learning NeurIPS 2022 Disentangling Transfer in Continual Reinforcement Learning NeurIPS 2022 Distributed Control using Reinforcement Learning with Temporal-Logic-Based Reward Shaping L4DC 2022 Distributionally Robust Q-Learning ICML 2022 DMAP: a Distributed Morphological Attention Policy for learning to locomote with a changing body NeurIPS 2022 Do Differentiable Simulators Give Better Policy Gradients? ICML 2022 DOMINO: Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement Learning NeurIPS 2022 Don’t Copy the Teacher: Data and Model Challenges in Embodied Dialogue EMNLP 2022 Don’t Start From Scratch: Leveraging Prior Data to Automate Robotic Reinforcement Learning CoRL 2022 Doubly-Asynchronous Value Iteration: Making Value Iteration Asynchronous in Actions NeurIPS 2022 Dungeons and Data: A Large-Scale NetHack Dataset NeurIPS 2022 Dynamic Regret of Online Markov Decision Processes ICML 2022 Dynamic Sparse Training for Deep Reinforcement Learning IJCAI 2022 EAT-C: Environment-Adversarial sub-Task Curriculum for Efficient Reinforcement Learning ICML 2022 Efficient and Stable Off-policy Training via Behavior-aware Evolutionary Learning CoRL 2022 Efficient Continuous Control with Double Actors and Regularized Critics AAAI 2022 Efficient Deep Learning for Multi Agent Pathfinding AAAI 2022 Efficient Dialog Policy Learning by Reasoning with Contextual Knowledge AAAI 2022 Efficient Learning for AlphaZero via Path Consistency ICML 2022 Efficient Tactile Simulation with Differentiability for Robotic Manipulation CoRL 2022 Eliciting Compatible Demonstrations for Multi-Human Imitation Learning CoRL 2022 ELIGN: Expectation Alignment as a Multi-Agent Intrinsic Reward NeurIPS 2022