expert demonstration

Learning About Progress From Experts ICLR 2023 Learning Soft Constraints From Constrained Expert Demonstrations ICLR 2023 Optimal Transport for Offline Imitation Learning ICLR 2023 Unlabeled Imperfect Demonstrations in Adversarial Imitation Learning AAAI 2023 Visual Imitation Learning with Patch Rewards ICLR 2023 A Hierarchical Bayesian Approach to Inverse Reinforcement Learning with Symbolic Reward Machines ICML 2022 Imitation Learning by Reinforcement Learning ICLR 2022 Programmatic Reward Design by Example AAAI 2022 Receding Horizon Inverse Reinforcement Learning NeurIPS 2022 Hyperparameter Selection for Imitation Learning ICML 2021 Learning to Weight Imperfect Demonstrations ICML 2021 Learn-To-Race: A Multimodal Control Environment for Autonomous Racing ICCV 2021 Deep Imitative Models for Flexible Inference, Planning, and Control ICLR 2020 Efficient Exploration of Reward Functions in Inverse Reinforcement Learning via Bayesian Optimization NeurIPS 2020 f-GAIL: Learning f-Divergence for Generative Adversarial Imitation Learning NeurIPS 2020 Generative Adversarial Imitation Learning from Failed Experiences (Student Abstract) AAAI 2020 Inverse Reinforcement Learning for Team Sports: Valuing Actions and Players IJCAI 2020 Learning Dialog Policies from Weak Demonstrations ACL 2020 Offline Imitation Learning with a Misspecified Simulator NeurIPS 2020 Reinforcement Learning from Imperfect Demonstrations under Soft Expert Guidance AAAI 2020 State Alignment-based Imitation Learning ICLR 2020 Truly Batch Model-Free Inverse Reinforcement Learning about Multiple Intentions AISTATS 2020 Hybrid Reinforcement Learning with Expert State Sequences AAAI 2019 Learning to Understand Goal Specifications by Modelling Reward ICLR 2019 Recent Advances in Imitation Learning from Observation IJCAI 2019