Controlling forest fires in a simulation using neural networks, as part of a bachelors project at the University of Groningen.
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Able to generate training data + using ReLu instead of linear activation and decreased alpha
bd3c032View on GitHubAdded proper comments to OrthogonalSubGoals and cleaned up code
c3590b1View on GitHubFixed out of bounds issues DeepQLearner when using randomly generated map + OrthogonalGoals now compatible with multi agent system. Do note that agents can only cut goal clockwise.
b415fc5View on GitHubNow able to use full feature vector as input. Todo: update MLP for each subgoal instead of only "WW"
0616e92View on GitHubRefractored most of OrthogonalSubGoals. More robust implementation of goal distance to center of fire implemented.
9628d89View on GitHubaltered rounding error cosine + dotproduct function + inputcosyne function
ba430dbView on GitHubChanged function winddirection and function distanceFromCenterToFireline + added new function for combined input
5e6392dView on GitHub