Sreenath, Koushil

10 publications

CoRL 2025 HuB: Learning Extreme Humanoid Balance Tong Zhang, Boyuan Zheng, Ruiqian Nai, Yingdong Hu, Yen-Jen Wang, Geng Chen, Fanqi Lin, Jiongye Li, Chuye Hong, Koushil Sreenath, Yang Gao
CoRL 2025 Toward Real-World Cooperative and Competitive Soccer with Quadrupedal Robot Teams Zhi Su, Yuman Gao, Emily Lukas, Yunfei Li, Jiaze Cai, Faris Talubah, Fei Gao, Chao Yu, Zhongyu Li, Yi Wu, Koushil Sreenath
ICML 2025 Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations Yucheng Hu, Yanjiang Guo, Pengchao Wang, Xiaoyu Chen, Yen-Jen Wang, Jianke Zhang, Koushil Sreenath, Chaochao Lu, Jianyu Chen
CoRL 2024 DiffuseLoco: Real-Time Legged Locomotion Control with Diffusion from Offline Datasets Xiaoyu Huang, Yufeng Chi, Ruofeng Wang, Zhongyu Li, Xue Bin Peng, Sophia Shao, Borivoje Nikolic, Koushil Sreenath
NeurIPS 2024 Humanoid Locomotion as Next Token Prediction Ilija Radosavovic, Bike Zhang, Baifeng Shi, Jathushan Rajasegaran, Sarthak Kamat, Trevor Darrell, Koushil Sreenath, Jitendra Malik
L4DC 2024 Safety Filters for Black-Box Dynamical Systems by Learning Discriminating Hyperplanes Will Lavanakul, Jason Choi, Koushil Sreenath, Claire Tomlin
L4DC 2023 In-Distribution Barrier Functions: Self-Supervised Policy Filters That Avoid Out-of-Distribution States Fernando CastaƱeda, Haruki Nishimura, Rowan Thomas McAllister, Koushil Sreenath, Adrien Gaidon
CoRL 2022 GenLoco: Generalized Locomotion Controllers for Quadrupedal Robots Gilbert Feng, Hongbo Zhang, Zhongyu Li, Xue Bin Peng, Bhuvan Basireddy, Linzhu Yue, Zhitao Song, Lizhi Yang, Yunhui Liu, Koushil Sreenath, Sergey Levine
CoRL 2022 Lyapunov Design for Robust and Efficient Robotic Reinforcement Learning Tyler Westenbroek, Fernando Castaneda, Ayush Agrawal, Shankar Sastry, Koushil Sreenath
L4DC 2020 Improving Input-Output Linearizing Controllers for Bipedal Robots via Reinforcement Learning Fernando CastaƱeda, Mathias Wulfman, Ayush Agrawal, Tyler Westenbroek, Shankar Sastry, Claire Tomlin, Koushil Sreenath