Python implementation of the game according to tests with AI experiment
134 USD 
- Combination (realization) of software components (classes, modules, etc.)for the operation of the engine with the possibility of setting up:
Here is the Game Design Documentation:
HTTPS://share-docs.clickup.com/18331894/d/h/hfe7p-3705/7b61fe7ddcb49a3
Adding internal tests (unit) if necessary
- connect the Gherkin tests (they are already written) to use real logic (there is already a repository from the past project)
- to create the possibility of launching the game emulation (we ask the parameters that are in the game design, and even our walks, already in the mass to see the results of the end of the game, from the generation of elements we can also ask) after that we collect statistics (coins, walks, broken houses, crystals) and so on, some mini report
- the experimental idea of the implementation of artificial intelligence for the game to collect statistics at different settings of the game (if it doesn't come out to realize, it won't be a negative feedback, and in case through arbitration we decide that both sides are satisfied, in the ultimate option)
Examples of how the test is written:
The Python Pytest
Client's review of cooperation with Vitaly T.
Python implementation of the game according to tests with AI experimentVery pleased with cooperation, professional approach, interesting and working decisions. Ready to submit to your task and offers even broader vision and problem solution. We also know the neuroscience. I recommend this executive! We will continue to work!)
Freelancer's review of cooperation with Yaroslav R.
Python implementation of the game according to tests with AI experimentThank you for the project. The task is very interesting and well placed. Jaroslav is always in contact even very late. Technical tasks and various issues are solved in the best way and discussed. Set up tasks at a high level. I recommend for cooperation.
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Winning proposal30 days134 USD
2071 55 2 Winning proposal30 days134 USD
Good morning, I recently performed a similar task for myself on Unity/C# about moving pounds. In my implementation, the algorithm is looking for some rules that are verified in development but I work with machine learning and neuron networks so it will not be a problem to realize the learning algorithm on AI or using Q learning. With machine learning and other AI technologies I mainly work using python/tensorflow and C++/tynydnn and self-writing models. I realize the task.
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