neural network model for q-learning othello? • /r/MachineLearning

@machinelearnbot 

Lately I've been exploring reinforcement learning. I built a q-learning agent for Othello. It is table-based, so it obviously doesn't work well because the state-space of Othello is just too big for a table. So for the past week I've been investigating neural networks as q-learning approximators. I even put one together using Keras/Theanos, and something's going right because it wins 90% of games against an opponent that plays purely randomly (but gets crushed against monte-carlo, another agent I wrote, even if the simulation time for MC is very very short).

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