Temporal Abstraction Options

This video is part of the Udacity course "Reinforcement Learning". Watch the full course at https://www.udacity.com/course/ud600.

This video is part of the Udacity course "Reinforcement Learning". Watch the full course at https://www.udacity.com/course/ud600.

This video is part of the Udacity course "Reinforcement Learning". Watch the full course at https://www.udacity.com/course/ud600.

This video is part of the Udacity course "Reinforcement Learning". Watch the full course at https://www.udacity.com/course/ud600.

This video is part of the Udacity course "Reinforcement Learning". Watch the full course at https://www.udacity.com/course/ud600.

This video is part of the Udacity course "Reinforcement Learning". Watch the full course at https://www.udacity.com/course/ud600.

This video is part of the Udacity course "Reinforcement Learning". Watch the full course at https://www.udacity.com/course/ud600.

This video is part of the Udacity course "Reinforcement Learning". Watch the full course at https://www.udacity.com/course/ud600.

Joao Sacramento (Google) - “Emergent

This video is part of the Udacity course "Reinforcement Learning". Watch the full course at https://www.udacity.com/course/ud600.

This video is part of the Udacity course "Reinforcement Learning". Watch the full course at https://www.udacity.com/course/ud600.

This is lecture 21 of CMPUT 366 Fall 2017 at the University of Alberta.

AI Agents are distributed systems. Agents need to connect and communicate with tools, data repositories, other agents, etc., ...