Media Summary: This video is part of the Udacity course "Reinforcement Learning". Watch the full course at 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., ...
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Temporal Abstraction Options Function P3 - Detailed Analysis
This video is part of the Udacity course "Reinforcement Learning". Watch the full course at 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., ... Progress on Deep Reinforcement Learning with Temporal Abstraction One of the popular directions for scaling up reinforcement learning algorithms is the use of spatio- And therefore we will start there so the basic idea behind
Reinforcement Learning (RL) agents must learn to make useful decisions through action and observation alone. To be effective ...
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