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Fix: Update RL examples for recent gym 0.25.2 version #1212

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Fix: Update RL examples for recent gym 0.25.2 version #1212

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4 changes: 2 additions & 2 deletions reinforcement_learning/actor_critic.py
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Original file line number Diff line number Diff line change
Expand Up @@ -141,7 +141,7 @@ def main():
for i_episode in count(1):

# reset environment and episode reward
state, _ = env.reset()
state = env.reset()
ep_reward = 0

# for each episode, only run 9999 steps so that we don't
Expand All @@ -152,7 +152,7 @@ def main():
action = select_action(state)

# take the action
state, reward, done, _, _ = env.step(action)
state, reward, done, _ = env.step(action)

if args.render:
env.render()
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4 changes: 2 additions & 2 deletions reinforcement_learning/reinforce.py
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Original file line number Diff line number Diff line change
Expand Up @@ -81,11 +81,11 @@ def finish_episode():
def main():
running_reward = 10
for i_episode in count(1):
state, _ = env.reset()
state = env.reset()
ep_reward = 0
for t in range(1, 10000): # Don't infinite loop while learning
action = select_action(state)
state, reward, done, _, _ = env.step(action)
state, reward, done, _ = env.step(action)
if args.render:
env.render()
policy.rewards.append(reward)
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