1 citations · 1 across the 4 of their papers we have counts for
4 papers
Cost and Reward Infused Metric Elicitation
Chethan Bhateja, Joseph O'Brien, Afnaan Hashmi +1
In machine learning, metric elicitation refers to the selection of performance metrics that best reflect an individual's implicit preferences for a given application. Currently, me…
Re-Mix: Optimizing Data Mixtures for Large Scale Imitation Learning
Joey Hejna, Chethan Bhateja, Yichen Jiang +2
Increasingly large imitation learning datasets are being collected with the goal of training foundation models for robotics. However, despite the fact that data selection has been…
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…
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…