Tutorial
- arXiv 2018: An Algorithmic Perspective on Imitation Learning, arXiv
Papers
- AISTATS 2011, DAgger: A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning, arXiv, Note
- ICML 2017, AggreVaTeD: Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction, arXiv, Note
- ICML 2022, ILEED: Imitation Learning by Estimating Expertise of Demonstrators, arXiv, Note
Adversarial Imitation Learning:
- NIPS 2016, GAIL: Generative Adversarial Imitation Learning, arXiv, Note
- ICLR 2017, TPIL: Third-Person Imitation Learning, arXiv, Note
- NIPS 2017, InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations, arXiv, Note
- IJCAI 2020, Triple-GAIL: Triple-GAIL: A Multi-Modal Imitation Learning Framework, arXiv
- IJCAI 2021, SAIL: Robust Adversarial Imitation Learning via Adaptively-Selected Demonstrations, IJCAI
- ICLR 2023 Spotlight, HOIL: Seeing Differently, Acting Similarly: Heterogeneously Observable Imitation Learning, arXiv, Note
- ICML 2023, PCIL: Policy Contrastive Imitation Learning, arXiv
Policy Distillation:
- ICLR 2016, Policy Distillation: Policy Distillation, arXiv, Note
- AISTATS 2019, Distilling Policy Distillation: Distilling Policy Distillation, arXiv, Note
Explainable Imitation Learning: