We're going to use the policy gradient technique from reinforcement learning to beat the game of Pong. We'll use OpenAI's Universe as an environment for our agent and I'll go over the process of setting it up as well as the math behind the PG method in detail.
Microphone popping issues end at 11:15 . That cannot happen again. Udacity is aware of this and will be more prepared next time.
Code for this video:
https://github.com/llSourcell/Policy_...
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More Learning resources:
http://www.scholarpedia.org/article/P...
http://proceedings.mlr.press/v32/silv...
http://karpathy.github.io/2016/05/31/rl/
http://home.deib.polimi.it/restelli/M...
http://www0.cs.ucl.ac.uk/staff/D.Silv...
https://github.com/dennybritz/reinfor...
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java sdk How to Beat Pong Using Policy Gradients (LIVE) | |
| 380 Likes | 380 Dislikes |
| 22,428 views views | 694K followers |
| Education | Upload TimeStreamed live on 12 Apr 2017 |
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