Openai gym install on windows

κ°€μƒν™˜κ²½

anaconda둜 접속 ν›„ 이메일 μ œμΆœν•˜λ©΄ λ©”μΌλ‘œ λ‹€μš΄λ‘œλ“œ 링크λ₯Ό λ°›μŒ

μ„€μΉ˜κ°€ μ™„λ£Œ 되면 anaconda promptλ₯Ό μ—΄μ–΄μ„œ κ°€μƒν™˜κ²½ 생성 및 ν™œμ„±ν™”

conda create -n [κ°€μƒν™˜κ²½μ΄λ¦„]

conda activate [κ°€μƒν™˜κ²½μ΄λ¦„]

python μ„€μΉ˜

conda install python=3.11

install gym

기본적인 ν™˜κ²½λΆ€ν„° μ„€μΉ˜

pip install gymnasium[classic-control]

pip install gymnasium[mujoco]

pip install gymnasium[atari]
pip install gymnasium[accept-rom-license]

conda install swig

visual studio c++ build toolsμ—μ„œ build tools λ‹€μš΄λ‘œλ“œ

c++을 μ‚¬μš©ν•œ λ°μŠ€ν¬ν†± 개발 선택후 μ„€μΉ˜

pip install gymnasium[box2d]

μ‹€ν–‰

visual studio code μ‹€ν–‰

py 파일 생성

Ctrl + Shift + p

python select iterpreter 선택 ν›„ μƒμ„±ν•œ κ°€μƒν™˜κ²½ 선택

Ctrl + Shift + p

terminal select default profile 선택 ν›„ command prompt 선택

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()

μ‹€ν–‰ debug

Openai gym Docμ—μ„œ ν™˜κ²½ κ°€μ Έμ˜€κΈ°

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