Applications

Controllable Text Simplification with Deep Reinforcement Learning AACL 2022 Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation AAAI 2022 Control-Tutored Reinforcement Learning: Towards the Integration of Data-Driven and Model-Based Control L4DC 2022 Correcting Robot Plans with Natural Language Feedback RSS 2022 Coupling Vision and Proprioception for Navigation of Legged Robots CVPR 2022 Creating Interactive Crowds with Reinforcement Learning AAAI 2022 Cross-Domain Transfer via Semantic Skill Imitation CoRL 2022 CtrlFormer: Learning Transferable State Representation for Visual Control via Transformer ICML 2022 Curious Exploration via Structured World Models Yields Zero-Shot Object Manipulation NeurIPS 2022 Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation NeurIPS 2022 Data Augmentation for Learning to Play in Text-Based Games IJCAI 2022 Data-Driven Controller Synthesis of Unknown Nonlinear Polynomial Systems via Control Barrier Certificates L4DC 2022 Data-Efficient Pipeline for Offline Reinforcement Learning with Limited Data NeurIPS 2022 DayDreamer: World Models for Physical Robot Learning CoRL 2022 Deep Black-Box Reinforcement Learning with Movement Primitives CoRL 2022 Deep Surrogate Assisted Generation of Environments NeurIPS 2022 DeepTOP: Deep Threshold-Optimal Policy for MDPs and RMABs NeurIPS 2022 Deep Whole-Body Control: Learning a Unified Policy for Manipulation and Locomotion CoRL 2022 Delayed Reinforcement Learning by Imitation ICML 2022 DexPoint: Generalizable Point Cloud Reinforcement Learning for Sim-to-Real Dexterous Manipulation CoRL 2022 DextAIRity: Deformable Manipulation Can be a Breeze RSS 2022 D-Grasp: Physically Plausible Dynamic Grasp Synthesis for Hand-Object Interactions CVPR 2022 DHRL: A Graph-Based Approach for Long-Horizon and Sparse Hierarchical Reinforcement Learning NeurIPS 2022 Diffeomorphic Transforms for Generalised Imitation Learning L4DC 2022 DiffG-RL: Leveraging Difference between Environment State and Common Sense EMNLP 2022