imitation learning

SMART: Self-supervised Multi-task pretrAining with contRol Transformers ICLR 2023 Stabilize to Act: Learning to Coordinate for Bimanual Manipulation CoRL 2023 Subject-driven Text-to-Image Generation via Apprenticeship Learning NeurIPS 2023 Superhuman Fairness ICML 2023 Target-based Surrogates for Stochastic Optimization ICML 2023 Teach a Robot to FISH: Versatile Imitation from One Minute of Demonstrations RSS 2023 TGRL: An Algorithm for Teacher Guided Reinforcement Learning ICML 2023 Thought Cloning: Learning to Think while Acting by Imitating Human Thinking NeurIPS 2023 Tight Performance Guarantees of Imitator Policies with Continuous Actions AAAI 2023 Towards Example-Based NMT with Multi-Levenshtein Transformers EMNLP 2023 Towards Learning to Imitate from a Single Video Demonstration JMLR 2023 VIMA: Robot Manipulation with Multimodal Prompts ICML 2023 Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research NeurIPS 2023 Waypoint-Based Imitation Learning for Robotic Manipulation CoRL 2023 When Demonstrations meet Generative World Models: A Maximum Likelihood Framework for Offline Inverse Reinforcement Learning NeurIPS 2023 XSkill: Cross Embodiment Skill Discovery CoRL 2023 A Closed-Loop Perception, Decision-Making and Reasoning Mechanism for Human-Like Navigation IJCAI 2022 A data-driven approach for learning to control computers ICML 2022 A Few Expert Queries Suffices for Sample-Efficient RL with Resets and Linear Value Approximation NeurIPS 2022 Align-RUDDER: Learning From Few Demonstrations by Reward Redistribution ICML 2022 An Imitation Learning Curriculum for Text Editing with Non-Autoregressive Models ACL 2022 A Policy-Guided Imitation Approach for Offline Reinforcement Learning NeurIPS 2022 Ask4Help: Learning to Leverage an Expert for Embodied Tasks NeurIPS 2022 Bridging the Gap Between Learning in Discrete and Continuous Environments for Vision-and-Language Navigation CVPR 2022 Causal Imitation Learning under Temporally Correlated Noise ICML 2022