c7c06f56e918cabf565d4e4454daa344137d1f0f,contrib/rl/tictactoe.py,,main,#,151

Before Change

  a3c.fit(100000)
  env.reset()
  while not env._terminated:
    print(env.display())
    print(a3c.predict(env._state))
    action = a3c.select_action(env._state)
    print(action)

After Change

    value_weight = 0.05
    while value_weight <= 1.0:
        print(value_weight)
        score = eval_tic_tac_toe(value_weight)
        scores[value_weight] = score
        with open("tictactoe_value_search.json", "w") as fout:
            fout.write(json.dumps(scores))
        value_weight += 0.05

Instances