Surag Nair suragnair
suragnair
/ politer-selfplay.py
Last active
August 25, 2022 21:59
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| def policyIterSP(game): | |
| nnet = initNNet() # initialise random neural network | |
| examples = [] | |
| for i in range(numIters): | |
| for e in range(numEps): | |
| examples += executeEpisode(game, nnet) # collect examples from this game | |
| new_nnet = trainNNet(examples) | |
| frac_win = pit(new_nnet, nnet) # compare new net with previous net | |
| if frac_win > threshold: | |
| nnet = new_nnet # replace with new net |
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| def search(s, game, nnet): | |
| if game.gameEnded(s): return -game.gameReward(s) | |
| if s not in visited: | |
| visited.add(s) | |
| P[s], v = nnet.predict(s) | |
| return -v | |
| max_u, best_a = -float("inf"), -1 | |
| for a in game.getValidActions(s): |