This set of code was developed from the python starter pack cloned from the MechMania28 repo (https://github.com/MechMania-28/Python-Starterpack). The code within this repo were written by @rayko9277 (Ray Ko), @ZYCC6002 (Chris Chan), @SidharthAnand04 (Sidharth Anand) and hwacc-y (Nicholas Yeung). Our team, Illiac 2 and U, placed 9th using the ranger.py strategy file. Other strategy files such as kn_strategy and wiz_stragety were also quite effective for a while until balacing updates to the game reduced their effectiveness.

Code Req: Java >= 11
Node.js Python >= 3.8 pip install jsonpickle #--------------------------------------------------------------------------# First run the Engine.jar file from (https://github.com/MechMania-28/Engine) Next run the build.py file Then run the start-4-python-bots.bat/.sh file After that the engineer should output a .json file in a folder called gamelogs, which is located in the same directory as Engine.jar. Run the resulting JSON file in the visualizer (https://github.com/MechMania-28/Visualizer) to render the results. #---------------------------------------------------------------------------# Tips: I configured the strategy_config.py file so that it can test out multiple strategies against each other during tests. If you want the engine to run the game with 4 bots running the same strategy just make test = false and return the desired strat function in the return statement under else. #---------------------------------------------------------------------------#

Currently the hackathon is over but maybe in the furture, I'll come back to tinker with this repo.

Maybe try and optimize the knight or wizard class using other ML methods such as reinforcement learning since there is no longer a time constraint.