Train Offline, Test Online: A Real Robot Learning Benchmark

1 code implementation • 1 Jun 2023 • Gaoyue Zhou, Victoria Dean, Mohan Kumar Srirama, Aravind Rajeswaran, Jyothish Pari, Kyle Hatch, Aryan Jain, Tianhe Yu, Pieter Abbeel, Lerrel Pinto, Chelsea Finn, Abhinav Gupta

Three challenges limit the progress of robot learning research: robots are expensive (few labs can participate), everyone uses different robots (findings do not generalize across labs), and we lack internet-scale robotics data.

Interesting Object, Curious Agent: Learning Task-Agnostic Exploration

1 code implementation • NeurIPS 2021 • Simone Parisi, Victoria Dean, Deepak Pathak, Abhinav Gupta

In this setup, the agent first learns to explore across many environments without any extrinsic goal in a task-agnostic manner.

Object

See, Hear, Explore: Curiosity via Audio-Visual Association

1 code implementation • NeurIPS 2020 • Victoria Dean, Shubham Tulsiani, Abhinav Gupta

Exploration is one of the core challenges in reinforcement learning.

Efficient Exploration