CMU Foundation and Language Model Seminar

— 12:30pm

In Person and Virtual - ET - ASA Conference Room, Gates Hillman 6115

KATERINA FRAGKIADAKI, JPMorgan Chase Associate Professor of Computer Science, Machine Learning Department, Carnegie Mellon University

This talk presents our work on LLMs for robot learning, such as manipulation and autonomous driving. LLMs propose tasks, decompose them over time and predict python reward functions, which we then train RL policies for, as seen in Similarly, using memory-augmented LLMs for embodied agents allows for learning during deployment through memory expansion, highlighted in Additionally, we discuss driving in the hardest scenarios with a teacher sitting next to you, where the LLM shapes the reward function optimized through a newly proposed optimization method. 

Pizza Lunch Provided.

In Person and Zoom Participation.  See announcement.

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