Towards Exploiting Geometry and Time for Fast Off-Distribution Adaptation in Multi-Task Robot Learning. - K. R. Zentner; Ryan Julian; Ujjwal Puri; Yulun Zhang 002; Gaurav S. Sukhatme (CoRR, 2021)

A Simple Approach to Continual Learning by Transferring Skill Parameters. - K. R. Zentner; Ryan Julian; Ujjwal Puri; Yulun Zhang 002; Gaurav S. Sukhatme (CoRR, 2021)

Efficient Multi-Task Learning via Iterated Single-Task Transfer. - K. R. Zentner; Ujjwal Puri; Yulun Zhang 002; Ryan Julian; Gaurav S. Sukhatme (IROS, 2022)

Generating Behaviorally Diverse Policies with Latent Diffusion Models. - Shashank Hegde; Sumeet Batra; K. R. Zentner; Gaurav S. Sukhatme (NeurIPS, 2023)

Guaranteed Trust Region Optimization via Two-Phase KL Penalization. - K. R. Zentner; Ujjwal Puri; Zhehui Huang; Gaurav S. Sukhatme (CoRR, 2023)

Conditionally Combining Robot Skills using Large Language Models. - K. R. Zentner; Ryan Julian; Brian Ichter; Gaurav S. Sukhatme (ICRA, 2024)

Meta-World+: An Improved, Standardized, RL Benchmark. - Reginald McLean; Evangelos Chatzaroulas; Luc McCutcheon; Frank Röder; Tianhe Yu; Zhanpeng He; K. R. Zentner; Ryan Julian; Jordan K. Terry; Isaac Woungang; Nariman Farsad; Pablo Samuel Castro (CoRR, 2025)