Sukhatme, Gaurav

10 publications

NeurIPS 2023 Alexa Arena: A User-Centric Interactive Platform for Embodied AI Qiaozi Gao, Govind Thattai, Suhaila Shakiah, Xiaofeng Gao, Shreyas Pansare, Vasu Sharma, Gaurav Sukhatme, Hangjie Shi, Bofei Yang, Desheng Zhang, Lucy Hu, Karthika Arumugam, Shui Hu, Matthew Wen, Dinakar Guthy, Shunan Chung, Rohan Khanna, Osman Ipek, Leslie Ball, Kate Bland, Heather Rocker, Michael Johnston, Reza Ghanadan, Dilek Hakkani-Tur, Prem Natarajan

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

ICLRW 2022 Learning Articulated Rigid Body Dynamics Simulations from Video Eric Heiden, Ziang Liu, Vibhav Vineet, Erwin Coumans, Gaurav Sukhatme

L4DC 2020 Encoding Physical Constraints in Differentiable Newton-Euler Algorithm Giovanni Sutanto, Austin Wang, Yixin Lin, Mustafa Mukadam, Gaurav Sukhatme, Akshara Rai, Franziska Meier

CoRL 2020 Learning Equality Constraints for Motion Planning on Manifolds Giovanni Sutanto, Isabel Rayas Fernández, Peter Englert, Ragesh Kumar Ramachandran, Gaurav Sukhatme

CoRL 2020 Motion Planner Augmented Reinforcement Learning for Robot Manipulation in Obstructed Environments Jun Yamada, Youngwoon Lee, Gautam Salhotra, Karl Pertsch, Max Pflueger, Gaurav Sukhatme, Joseph Lim, Peter Englert

CoRL 2020 Never Stop Learning: The Effectiveness of Fine-Tuning in Robotic Reinforcement Learning Ryan Julian, Benjamin Swanson, Gaurav Sukhatme, Sergey Levine, Chelsea Finn, Karol Hausman

ICML 2020 Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with Asynchronous Reinforcement Learning Aleksei Petrenko, Zhehui Huang, Tushar Kumar, Gaurav Sukhatme, Vladlen Koltun

ICML 2017 Combining Model-Based and Model-Free Updates for Trajectory-Centric Reinforcement Learning Yevgen Chebotar, Karol Hausman, Marvin Zhang, Gaurav Sukhatme, Stefan Schaal, Sergey Levine

NeurIPS 2017 Multi-Modal Imitation Learning from Unstructured Demonstrations Using Generative Adversarial Nets Karol Hausman, Yevgen Chebotar, Stefan Schaal, Gaurav Sukhatme, Joseph J. Lim