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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Temporal Abstraction Options Function P2 - 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. Progress on Deep Reinforcement Learning with Temporal Abstraction AI Agents are distributed systems. Agents need to connect and communicate with tools, data repositories, other agents, etc., ... This video was recorded at Scala Days Copenhagen 2017 Follow us on Twitter or visit our website for more ... Video lecture from the science school-hackathon DeepHack.RL
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