Sidhant Kaushik

According to our database, Sidhant Kaushik authored at least 3 papers between 2020 and 2026.

Collaborative distances:

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

2026

Robometer: Scaling General-Purpose Robotic Reward Models via Trajectory Comparisons.

Anthony Liang, Yigit Korkmaz, Jiahui Zhang, Minyoung Hwang, Abrar Anwar, Sidhant Kaushik, Aditya Shah, Alex S. Huang, Luke Zettlemoyer, Dieter Fox, Yu Xiang, Anqi Li, Andreea Bobu, Abhishek Gupta, Stephen Tu, Erdem Biyik, Jesse Zhang

CoRR, March, 2026

2021

Modularity in Reinforcement Learning via Algorithmic Independence in Credit Assignment.

Michael Chang, Sidhant Kaushik, Sergey Levine, Tom Griffiths

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Decentralized Reinforcement Learning: Global Decision-Making via Local Economic Transactions.

Michael Chang, Sidhant Kaushik, S. Matthew Weinberg, Tom Griffiths, Sergey Levine

Proceedings of the 37th International Conference on Machine Learning, 2020