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https://gym.openai.com/envs/#classic_control
Gym: A toolkit for developing and comparing reinforcement learning algorithms
Open source interface to reinforcement learning tasks. The gym library provides an easy-to-use suite of reinforcement learning tasks. import gym env = gym.make("CartPole-v1") observation = env.reset() for _ in range(1000): env.render() action = env.action_
gym.openai.com
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