K. R. Zentner

According to our database, K. R. Zentner authored at least 8 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos.

Shenyuan Gao, William Liang, Kaiyuan Zheng, Ayaan Malik, Seonghyeon Ye, Sihyun Yu, Wei-Cheng Tseng, Yuzhu Dong, Kaichun Mo, Chen-Hsuan Lin, Qianli Ma, Seungjun Nah, Loic Magne, Jiannan Xiang, Yuqi Xie, Ruijie Zheng, Dantong Niu, You Liang Tan, K. R. Zentner, George Kurian, Suneel Indupuru, Pooya Jannaty, Jinwei Gu, Jun Zhang, Jitendra Malik, Pieter Abbeel, Ming-Yu Liu, Yuke Zhu, Joel Jang, Linxi "Jim" Fan

CoRR, February, 2026

2025

Meta-World+: An Improved, Standardized, RL Benchmark.

Reginald McLean, Evangelos Chatzaroulas, Luc McCutcheon, Frank Röder, Tianhe Yu, Zhanpeng He, K. R. Zentner, Ryan Julian, J. K. Terry, Isaac Woungang, Nariman Farsad, Pablo Samuel Castro

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

Conditionally Combining Robot Skills using Large Language Models.

K. R. Zentner, Ryan Julian, Brian Ichter, Gaurav S. Sukhatme

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

Guaranteed Trust Region Optimization via Two-Phase KL Penalization.

K. R. Zentner, Ujjwal Puri, Zhehui Huang, Gaurav S. Sukhatme

CoRR, 2023

Generating Behaviorally Diverse Policies with Latent Diffusion Models.

Shashank Hegde, Sumeet Batra, K. R. Zentner, Gaurav S. Sukhatme

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Efficient Multi-Task Learning via Iterated Single-Task Transfer.

K. R. Zentner, Ujjwal Puri, Yulun Zhang, Ryan Julian, Gaurav S. Sukhatme

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021

A Simple Approach to Continual Learning by Transferring Skill Parameters.

K. R. Zentner, Ryan Julian, Ujjwal Puri, Yulun Zhang, Gaurav S. Sukhatme

CoRR, 2021

Towards Exploiting Geometry and Time for Fast Off-Distribution Adaptation in Multi-Task Robot Learning.

K. R. Zentner, Ryan Julian, Ujjwal Puri, Yulun Zhang, Gaurav S. Sukhatme

CoRR, 2021