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Deeksha Manjunath

2 accepted papers

2023

Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions

CoRL 2023poster

In this work, we present a scalable reinforcement learning method for training multi-task policies from large offline datasets that can leverage both human demonstrations and autonomously collected data. Our method uses a Transformer to provide a scalable representation for Q-functions trained via o…

Cited by 106SourceScholar
2023

RT-1: Robotics Transformer for Real-World Control at Scale

RSS 2023poster

By transferring knowledge from large, diverse, task-agnostic datasets, modern machine learning models can solve specific downstream tasks either zero-shot or with small task-specific datasets to a high level of performance. While this capability has been demonstrated in other fields such as computer…