Openai gym install on windows
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conda create -n [κ°μνκ²½μ΄λ¦]
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conda install python=3.11
install gym
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pip install gymnasium[classic-control]
pip install gymnasium[mujoco]
pip install gymnasium[atari]
pip install gymnasium[accept-rom-license]
conda install swig
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pip install gymnasium[box2d]
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import gymnasium as gym
env = gym.make("LunarLander-v2", render_mode="human")
observation, info = env.reset(seed=42)
for _ in range(1000):
action = env.action_space.sample()
observation, reward, terminated, truncated, info = env.step(action)
if terminated or truncated:
observation, info = env.reset()
env.close()
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