Imitation Learning

MAHALO: Unifying Offline Reinforcement Learning and Imitation Learning from Observations ICML 2023 Misspecification in Inverse Reinforcement Learning AAAI 2023 Mixed-Initiative Multiagent Apprenticeship Learning for Human Training of Robot Teams NeurIPS 2023 NetHack is Hard to Hack NeurIPS 2023 Offline Imitation Learning with Suboptimal Demonstrations via Relaxed Distribution Matching AAAI 2023 Offline Imitation Learning with Variational Counterfactual Reasoning NeurIPS 2023 On Imitation in Mean-field Games NeurIPS 2023 Optimize Planning Heuristics to Rank, not to Estimate Cost-to-Goal NeurIPS 2023 PartManip: Learning Cross-Category Generalizable Part Manipulation Policy From Point Cloud Observations CVPR 2023 PateGail: A Privacy-Preserving Mobility Trajectory Generator with Imitation Learning AAAI 2023 PIRLNav: Pretraining With Imitation and RL Finetuning for ObjectNav CVPR 2023 Policy Contrastive Imitation Learning ICML 2023 Provable Guarantees for Generative Behavior Cloning: Bridging Low-Level Stability and High-Level Behavior NeurIPS 2023 Regularized Behavior Cloning for Blocking the Leakage of Past Action Information NeurIPS 2023 Residual Q-Learning: Offline and Online Policy Customization without Value NeurIPS 2023 Seeing Differently, Acting Similarly: Heterogeneously Observable Imitation Learning ICLR 2023 SeMAIL: Eliminating Distractors in Visual Imitation via Separated Models ICML 2023 Small Object Detection via Coarse-to-fine Proposal Generation and Imitation Learning ICCV 2023 Superhuman Fairness ICML 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 Theoretical Understanding of Inverse Reinforcement Learning ICML 2023 Understanding and Adopting Rational Behavior by Bellman Score Estimation ICLR 2023 Unlabeled Imperfect Demonstrations in Adversarial Imitation Learning AAAI 2023