Permits unlimited usage of the addon for commercial and non commerical releases for one single individual
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This plugin is built upon the Deep Q-Learning algorithm developed by Google’s DeepMind.
It enables the developer to give agents a “brain” and train them using rewards/punishments. The implementation uses convnet.js by Andrej Karpathy.
For a more detailed description of the features and abilities of the plugin, as well as an example CAPX, please see the documentation at https://www.dropbox.com/s/3lu6fuk6eucpnc7/ReinforcementLearningDocumentation.docx
Please note, the plugin comes as-is and it is not guaranteed when/that the artificial neural network will converge, nor can a certain accuracy be guaranteed.
A purchase of a Construct 2 addon permits unlimited usage for 1 single developer. This developer is permitted to use the addon for life in as many commercial and non commercial projects as they wish. The license is strictly non-transferable. If more than one developer wishes to make use of the addon, multiple licenses will be required.
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The Actions and Expressions, explained.
An example CAPX with a small game using Reinforcement Learning to train an agent - the comments can be useful to understand the way this plugin works.
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