Skip to content
Open
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
24 changes: 24 additions & 0 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -12,6 +12,14 @@ Please feel free to send me [pull request](https://github.com/kristery/Awesome-I
## Papers

### General settings
* [Memory-Consistent Neural Networks for Imitation Learning](https://sites.google.com/view/mcnn-imitation), K. Sridhar et al., ICLR 2024

* [Diffusion Policy: Visuomotor Policy Learning via Action Diffusion](https://diffusion-policy.cs.columbia.edu/), C. Chi et al., RSS 2023

* [Behavior Transformers: Cloning k modes with one stone](https://mahis.life/bet/), N.M. Shafiullah et al., NeurIPS 2022

* [Implicit Behavioral Cloning](https://implicitbc.github.io/), P. Florence et al., CoRL 2021

* [How Resilient Are Imitation Learning Methods to Sub-optimal Experts?](https://link.springer.com/chapter/10.1007/978-3-031-21689-3_32), Gavenski et al., BRACIS 2023

* [IQ-Learn: Inverse soft-Q Learning for Imitation](https://arxiv.org/abs/2106.12142), D. Garg et al., NeurIPS 2021
Expand Down Expand Up @@ -125,6 +133,14 @@ Please feel free to send me [pull request](https://github.com/kristery/Awesome-I
* [One-Shot Imitation Learning](http://papers.nips.cc/paper/6709-one-shot-imitation-learning), Y. Duan et al., NIPS 2017

### Learning multi-modal behaviors
* [Memory-Consistent Neural Networks for Imitation Learning](https://sites.google.com/view/mcnn-imitation), K. Sridhar et al., ICLR 2024

* [Diffusion Policy: Visuomotor Policy Learning via Action Diffusion](https://diffusion-policy.cs.columbia.edu/), C. Chi et al., RSS 2023

* [Behavior Transformers: Cloning k modes with one stone](https://mahis.life/bet/), N.M. Shafiullah et al., NeurIPS 2022

* [Implicit Behavioral Cloning](https://implicitbc.github.io/), P. Florence et al., CoRL 2021

* [Learning a Multi-Modal Policy via Imitating Demonstrations with Mixed Behaviors](https://arxiv.org/pdf/1903.10304), F Hsiao et al., 2019

* [Watch, Try, Learn: Meta-Learning from Demonstrations and Reward. Imitation learning](https://arxiv.org/pdf/1906.03352), A. Zhou et al., 2019
Expand Down Expand Up @@ -189,6 +205,14 @@ Please feel free to send me [pull request](https://github.com/kristery/Awesome-I


### Behavior cloning
* [Memory-Consistent Neural Networks for Imitation Learning](https://sites.google.com/view/mcnn-imitation), K. Sridhar et al., ICLR 2024

* [Diffusion Policy: Visuomotor Policy Learning via Action Diffusion](https://diffusion-policy.cs.columbia.edu/), C. Chi et al., RSS 2023

* [Behavior Transformers: Cloning k modes with one stone](https://mahis.life/bet/), N.M. Shafiullah et al., NeurIPS 2022

* [Implicit Behavioral Cloning](https://implicitbc.github.io/), P. Florence et al., CoRL 2021

* [Imitating Unknown Policies via Exploration](https://arxiv.org/abs/2008.05660), G. Nathan et al., BMVC 2020

* [Augmented Behavioral Cloning from Observation](https://arxiv.org/pdf/2004.13529.pdf), M. Juarez et al., IJCNN 2020
Expand Down