4 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.RO2023
Robotic Offline RL from Internet Videos via Value-Function Pre-Training
Chethan Bhateja, Derek Guo, Dibya Ghosh +6
Pre-training on Internet data has proven to be a key ingredient for broad generalization in many modern ML systems. What would it take to enable such capabilities in robotic reinfo…
cs.LG2023★ 1 cited
Reinforcement Learning from Passive Data via Latent Intentions
Dibya Ghosh, Chethan Bhateja, Sergey Levine
Passive observational data, such as human videos, is abundant and rich in information, yet remains largely untapped by current RL methods. Perhaps surprisingly, we show that passiv…
cs.LG2022★ 4 cited
Offline RL Policies Should be Trained to be Adaptive
Dibya Ghosh, Anurag Ajay, Pulkit Agrawal +1
Offline RL algorithms must account for the fact that the dataset they are provided may leave many facets of the environment unknown. The most common way to approach this challenge…