quantuminformation / youtube-space-invaders Goto Github PK
View Code? Open in Web Editor NEWFollows along the youtube video series @ https://www.youtube.com/playlist?list=PLCrwuqjmVebIU2b4qesWz7PAEm1UJl15n
License: MIT License
Follows along the youtube video series @ https://www.youtube.com/playlist?list=PLCrwuqjmVebIU2b4qesWz7PAEm1UJl15n
License: MIT License
Would be cool to allow people to embed this game on their sites, eg in a 404 page.
Optimize the parameters of the actor model to maximize the predicted reward value generated by the critic.
The actor reward graph should display both the predicted loss generated by the critic network (equivalent to the actor optimization loss) and the actual loss once the training episode is complete.
I need to provide touch controls.
For more information, see the Deep Deterministic Policy Gradient section of the following Medium article: https://medium.com/@jonathan_hui/rl-reinforcement-learning-algorithms-quick-overview-6bf69736694d
Training slows down over time as more state/action pairs are added.
The issue preventing me from using tf.layers.maxPooling2d
has been resolved: tensorflow/tfjs#1189.
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