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Chase interface changes to OpenAI's Gym package. #66

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Chase interface changes to OpenAI's Gym package. #66

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9 changes: 5 additions & 4 deletions ReinforcementLearning/PolicyGradient/DDPG/pytorch/lunar-lander/main_torch.py
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Expand Up @@ -12,13 +12,14 @@

score_history = []
for i in range(1000):
obs = env.reset()
obs, info = env.reset()
done = False
truncated = False
score = 0
while not done:
while not (done or truncated):
act = agent.choose_action(obs)
new_state, reward, done, info = env.step(act)
agent.remember(obs, act, reward, new_state, int(done))
new_state, reward, done, truncated, info = env.step(act)
agent.remember(obs, act, reward, new_state, int(done or truncated))
agent.learn()
score += reward
obs = new_state
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