YoVDO

Foundation Models and the Transfer of Embodied Autonomy

Offered By: Center for Language & Speech Processing(CLSP), JHU via YouTube

Tags

Foundation Models Courses Reinforcement Learning Courses Transfer Learning Courses Transformer Architecture Courses Sequential Decision Making Courses Neuro-Symbolic AI Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the challenges and potential of foundation models in sequential decision-making through this insightful talk by DARPA program manager Alvaro Velasquez. Delve into the differences between natural language processing and reinforcement learning applications of foundation models. Examine the unique obstacles faced when developing foundation models for planning and decision-making tasks. Gain perspective on the critical issue of transfer learning in sequential decision-making contexts. Consider the future research directions and investments needed to advance foundation models beyond language processing. Learn from Velasquez's expertise in neuro-symbolic AI and his experience overseeing machine intelligence initiatives at the Air Force Research Laboratory. Understand the implications of these technological developments for embodied autonomy and artificial intelligence more broadly.

Syllabus

Foundation Models and the Transfer of Embodied Autonomy -- Alvaro Velasquez (DARPA)


Taught by

Center for Language & Speech Processing(CLSP), JHU

Related Courses

Toward Generalizable Embodied AI for Machine Autonomy
Bolei Zhou via YouTube
What Are the Statistical Limits of Offline Reinforcement Learning With Function Approximation?
Simons Institute via YouTube
Better Learning from the Past - Counterfactual - Batch RL
Simons Institute via YouTube
Off-Policy Policy Optimization
Simons Institute via YouTube
Provably Efficient Reinforcement Learning with Linear Function Approximation - Chi Jin
Institute for Advanced Study via YouTube