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2020 – today
- 2024
[c3]K. R. Zentner, Ryan Julian, Brian Ichter, Gaurav S. Sukhatme:
Conditionally Combining Robot Skills using Large Language Models. ICRA 2024: 14046-14053- 2023
- [c2]Shashank Hegde, Sumeet Batra, K. R. Zentner, Gaurav S. Sukhatme:
Generating Behaviorally Diverse Policies with Latent Diffusion Models. NeurIPS 2023 - [i5]Shashank Hegde, Sumeet Batra, K. R. Zentner, Gaurav S. Sukhatme:
Generating Behaviorally Diverse Policies with Latent Diffusion Models. CoRR abs/2305.18738 (2023) - [i4]K. R. Zentner, Ryan Julian, Brian Ichter, Gaurav S. Sukhatme:
Conditionally Combining Robot Skills using Large Language Models. CoRR abs/2310.17019 (2023) - [i3]K. R. Zentner, Ujjwal Puri, Zhehui Huang, Gaurav S. Sukhatme:
Guaranteed Trust Region Optimization via Two-Phase KL Penalization. CoRR abs/2312.05405 (2023) - 2022
- [c1]K. R. Zentner, Ujjwal Puri, Yulun Zhang
, Ryan Julian, Gaurav S. Sukhatme:
Efficient Multi-Task Learning via Iterated Single-Task Transfer. IROS 2022: 10141-10146 - 2021
- [i2]K. R. Zentner, Ryan Julian, Ujjwal Puri, Yulun Zhang, Gaurav S. Sukhatme:
Towards Exploiting Geometry and Time for Fast Off-Distribution Adaptation in Multi-Task Robot Learning. CoRR abs/2106.13237 (2021) - [i1]K. R. Zentner, Ryan Julian, Ujjwal Puri, Yulun Zhang, Gaurav S. Sukhatme:
A Simple Approach to Continual Learning by Transferring Skill Parameters. CoRR abs/2110.10255 (2021)
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