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Imitation Learning

332 directly classified papers

Papers per year

Papers

Sub-optimal Experts mitigate Ambiguity in Inverse Reinforcement Learning NIPS 2024
Towards the Transferability of Rewards Recovered via Regularized Inverse Reinforcement Learning NIPS 2024
Unveiling Imitation Learning: Exploring the impact of Data Falsity to Large Language Model ACL 2024
C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory NIPS 2024
Multi-Agent Imitation Learning: Value is Easy, Regret is Hard NIPS 2024
Do's and Don'ts: Learning Desirable Skills with Instruction Videos NIPS 2024
Diffusion-Reward Adversarial Imitation Learning NIPS 2024
Learning Control by Iterative Inversion ICML 2023
Policy Contrastive Imitation Learning ICML 2023
Misspecification in Inverse Reinforcement Learning AAAI 2023
Interactive Text Generation EMNLP 2023
A Coupled Flow Approach to Imitation Learning ICML 2023
Tight Performance Guarantees of Imitator Policies with Continuous Actions AAAI 2023
Unlabeled Imperfect Demonstrations in Adversarial Imitation Learning AAAI 2023
Offline Imitation Learning with Suboptimal Demonstrations via Relaxed Distribution Matching AAAI 2023
MAHALO: Unifying Offline Reinforcement Learning and Imitation Learning from Observations ICML 2023
PateGail: A Privacy-Preserving Mobility Trajectory Generator with Imitation Learning AAAI 2023
Improving End-to-End Speech Translation by Imitation-Based Knowledge Distillation with Synthetic Transcripts ACL 2023
PartManip: Learning Cross-Category Generalizable Part Manipulation Policy From Point Cloud Observations CVPR 2023
Iterative Teaching by Data Hallucination AISTATS 2023
AR2-D2: Training a Robot Without a Robot CORL 2023
XSkill: Cross Embodiment Skill Discovery CORL 2023
Learning Lyapunov-Stable Polynomial Dynamical Systems Through Imitation CORL 2023
Regularized Behavior Cloning for Blocking the Leakage of Past Action Information NIPS 2023
Residual Q-Learning: Offline and Online Policy Customization without Value NIPS 2023