Cross Domain Imitation Learning. - Kuno Kim; Yihong Gu; Jiaming Song; Shengjia Zhao; Stefano Ermon (CoRR, 2019)

Domain Adaptive Imitation Learning. - Kuno Kim; Yihong Gu; Jiaming Song; Shengjia Zhao; Stefano Ermon (ICML, 2020)

Active World Model Learning with Progress Curiosity. - Kuno Kim; Megumi Sano; Julian De Freitas; Nick Haber; Daniel Yamins (ICML, 2020)

ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation. - Chuang Gan 001; Jeremy Schwartz; Seth Alter; Martin Schrimpf; James Traer; Julian De Freitas; Jonas Kubilius; Abhishek Bhandwaldar; Nick Haber; Megumi Sano; Kuno Kim; Elias Wang; et al. (CoRR, 2020)

Reward Identification in Inverse Reinforcement Learning. - Kuno Kim; Shivam Garg 001; Kirankumar Shiragur; Stefano Ermon (ICML, 2021)

ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation. - Chuang Gan 001; Jeremy Schwartz; Seth Alter; Damian Mrowca; Martin Schrimpf; James Traer; Julian De Freitas; Jonas Kubilius; Abhishek Bhandwaldar; Nick Haber; Megumi Sano; Kuno Kim; et al. (NeurIPS Datasets and Benchmarks, 2021)

Imitation with Neural Density Models. - Kuno Kim; Akshat Jindal; Yang Song 011; Jiaming Song; Yanan Sui; Stefano Ermon (NeurIPS, 2021)

LISA: Learning Interpretable Skill Abstractions from Language. - Divyansh Garg; Skanda Vaidyanath; Kuno Kim; Jiaming Song; Stefano Ermon (NeurIPS, 2022)

Self-Similarity Priors: Neural Collages as Differentiable Fractal Representations. - Michael Poli; Winnie Xu; Stefano Massaroli; Chenlin Meng; Kuno Kim; Stefano Ermon (NeurIPS, 2022)

Understanding and Adopting Rational Behavior by Bellman Score Estimation. - Kuno Kim; Stefano Ermon (ICLR, 2023)