Chethan Anand Bhateja — accepted AI-conference papers

2024

ReMix: Optimizing Data Mixtures for Large Scale Imitation Learning

Joey Hejna, Chethan Anand Bhateja, Yichen Jiang, Karl Pertsch, Dorsa Sadigh

CoRL 2024poster

Increasingly large robotics datasets are being collected to train larger foundation models in robotics. However, despite the fact that data selection has been of utmost importance to scaling in vision and natural language processing (NLP), little work in robotics has questioned what data such models…

Cited by 16 Source ↗code ↗Scholar ↗

2023

Reinforcement Learning from Passive Data via Latent Intentions

Dibya Ghosh, Chethan Anand Bhateja, Sergey Levine

ICML 2023oral

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 passive data, despite not having reward or action labels, can still be used to learn features that accelerate downstream RL. O…

Cited by 49 Source ↗PDF ↗code ↗Scholar ↗