46 lines
1.1 KiB
Python
46 lines
1.1 KiB
Python
import gym
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from envs.bullet.racecarGymEnv import RacecarGymEnv
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from baselines import deepq
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def main():
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env = RacecarGymEnv(render=True)
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act = deepq.load("racecar_model.pkl")
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print(act)
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while True:
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obs, done = env.reset(), False
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print("===================================")
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print("obs")
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print(obs)
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episode_rew = 0
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while not done:
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#env.render()
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print("!!!!!!!!!!!!!!!!!!!!!!!!!!")
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print("obs")
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print(obs)
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print("???????????????????????????")
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print("obs[None]")
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print(obs[None])
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o = obs[None]
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print("o")
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print(o)
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aa = act(o)
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print("aa")
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print (aa)
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a = aa[0]
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print("a")
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print(a)
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obs, rew, done, _ = env.step(a)
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print("===================================")
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print("obs")
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print(obs)
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episode_rew += rew
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print("Episode reward", episode_rew)
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if __name__ == '__main__':
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main()
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