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. Progress on Deep Reinforcement Learning with Temporal Abstraction
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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. Progress on Deep Reinforcement Learning with Temporal Abstraction Video lecture from the science school-hackathon DeepHack.RL One of the popular directions for scaling up reinforcement learning algorithms is the use of spatio- AI Agents are distributed systems. Agents need to connect and communicate with tools, data repositories, other agents, etc., ...
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