Jay Vakil

According to our database, Jay Vakil authored at least 6 papers in 2023.

Collaborative distances:

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

2023

RoboHive: A Unified Framework for Robot Learning.

Vikash Kumar, Rutav M. Shah, Gaoyue Zhou, Vincent Moens, Vittorio Caggiano, Jay Vakil, Abhishek Gupta, Aravind Rajeswaran

CoRR, 2023

What do we learn from a large-scale study of pre-trained visual representations in sim and real environments?

Sneha Silwal, Karmesh Yadav, Tingfan Wu, Jay Vakil, Arjun Majumdar, Sergio Arnaud, Claire Chen, Vincent-Pierre Berges, Dhruv Batra, Aravind Rajeswaran, Mrinal Kalakrishnan, Franziska Meier, Oleksandr Maksymets

CoRR, 2023

RoboAgent: Generalization and Efficiency in Robot Manipulation via Semantic Augmentations and Action Chunking.

Homanga Bharadhwaj, Jay Vakil, Mohit Sharma, Abhinav Gupta, Shubham Tulsiani, Vikash Kumar

CoRR, 2023

Spatial-Language Attention Policies for Efficient Robot Learning.

Priyam Parashar, Jay Vakil, Sam Powers, Chris Paxton

CoRR, 2023

Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence?

Arjun Majumdar, Karmesh Yadav, Sergio Arnaud, Yecheng Jason Ma, Claire Chen, Sneha Silwal, Aryan Jain, Vincent-Pierre Berges, Tingfan Wu, Jay Vakil, Pieter Abbeel, Jitendra Malik, Dhruv Batra, Yixin Lin, Oleksandr Maksymets, Aravind Rajeswaran, Franziska Meier

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

SLAP: Spatial-Language Attention Policies.

Priyam Parashar, Vidhi Jain, Xiaohan Zhang, Jay Vakil, Sam Powers, Yonatan Bisk, Chris Paxton

Proceedings of the Conference on Robot Learning, 2023