Papers

Accepted Papers

  1. Watch and Match: Supercharging Imitation with Regularized Optimal Transport
    (Siddhant Haldar, Vaibhav Mathur, Denis Yarats, Lerrel Pinto)

  2. Deep Model Predictive Control
    (Prabhat Kumar Mishra, Mateus Valverde Gasparino, Andres Eduardo Baquero Velasquez, Girish Chowdhary)

  3. An Auto-Tuning Framework for Controllers using Auto-Differentiation
    (Sheng Cheng, Minkyung Kim, Lin Song, Zhuohuan Wu, Shenlong Wang, Naira Hovakimyan)

  4. Train Offline, Test Online: A Real Robot Learning Benchmark
    (Gaoyue Zhou, Victoria Dean, Mohan Kumar Srirama, Aravind Rajeswaran, Jyothish Pari, Kyle Beltran Hatch, Aryan Jain, Tianhe Yu, Pieter Abbeel, Lerrel Pinto, Chelsea Finn, Abhinav Gupta)

  5. Real World Offline Reinforcement Learning with Realistic Data Source
    (Gaoyue Zhou, Liyiming Ke, Siddhartha Srinivasa, Abhinav Gupta, Aravind Rajeswaran, Vikash Kumar)

  6. Planning Goals for Exploration
    (Edward S. Hu, Richard Chang, Oleh Rybkin, Dinesh Jayaraman)

  7. Renaissance Robot: Optimal Transport Policy Fusion for Learning Diverse Skills
    (Julia Tan, Ransalu Senanayake, Fabio Ramos)

  8. VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training
    (Yecheng Jason Ma, Shagun Sodhani, Dinesh Jayaraman, Osbert Bastani, Vikash Kumar, Amy Zhang)

  9. Policy-Guided Lazy Search with Feedback for Task and Motion Planning
    (Mohamed Khodeir, Atharv Y Sonwane, Florian Shkurti)

  10. Learning Accurate and Stable Motions with Neural Networks
    (Rodrigo PĂ©rez-Dattari, Jens Kober)

  11. Hearing Touch: Using Contact Microphones for Robotic Manipulation
    (Jared Mejia, Shaden Naif Alshammari, Victoria Dean, Tess Hellebrekers, Pedro Morgado, Abhinav Gupta)

  12. SPRINT: Scalable Semantic Policy Pre-training via Language Instruction Relabeling
    (Jesse Zhang, Karl Pertsch, Jiahui Zhang, Taewook Nam, Sung Ju Hwang, Xiang Ren, Joseph J Lim)

  13. Leveraging Haptic Feedback to Improve Data Quality and Quantity for Deep Imitation Learning Models
    (Catie Cuan, Allison Okamura, Mohi Khansari)

  14. A General Pipeline for Autonomous Robotic Reinforcement Learning
    (Archit Sharma, Ahmed M Ahmed, Rehaan Ahmad, Chelsea Finn)

  15. Pre-Training for Robots: Offline RL Enables Learning New Tasks from a Handful of Trials
    (Aviral Kumar, Anikait Singh, Frederik Ebert, Yanlai Yang, Chelsea Finn, Sergey Levine)

  16. Deep Whole-Body Control: Learning a Unified Policy for Manipulation and Locomotion
    (Zipeng Fu, Xuxin Cheng, Deepak Pathak)