# Snake\-Game\-Neural\-Nets [DecompHub listing]() ยท [JSON record]() ## Description > This is a way I used to learn reinforcement learning\. I used ChatGPT to build this snake game run using a deep Q network so that I could reverse engineer it to teach myself how it worked, and then improved on it\. The neural net improves during the game from the collective experience of other concurrent iterations allowing much faster learning\. - Category: games - Work types: reverse\-engineering - Targets: Unknown - Project status: unknown - Listing updated: 2026\-10\-07T05:32:51\.376Z - Listing first published: 2026\-10\-07T05:32:51\.376Z ## Repository - Repository: [amaynes/snake\-game\-neural\-nets]() - License: Not specified - Repository stars: 0 - Stars checked: 2026\-10\-08T16:40:41\.228Z - Repository metadata checked: 2026\-10\-07T05:21:01\.032Z ## Progress Each value describes only its stated scope. An observation date is when DecompHub read the source; it is not a publisher measurement date. No sourced numeric progress is currently reported. This is unknown progress, not 0%. ## Project details - Languages: Python ## Contributing - Contribution status: unknown - Help requested: Not reported - Contribution instructions: Not reported - Contribution source: Not reported - Contribution information checked: Not reported - AI contribution policy: unspecified - AI policy source: Not reported ## Listing sources - [Public repository metadata]() - [Discovery query]() ## Data notes Descriptions remain in their recorded source language. Missing values are not inferred. Repository licensing is upstream metadata; this export does not grant rights to upstream code or assets. Schema version: 1. [Public data documentation]().