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Replay buffer in StableBaselines3 for a Gymnasium environment

I'm creating a customized replay buffer class based on ReplayBuffer from stable_baselines3.common.buffers, using a gymnasium environment instead of the gym environment. The return value of the env....
Siqi Wang's user avatar
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requested array would exceed the maximum number of dimension of 1 issue in gym

let us suppose we have folloing code : import gym from stable_baselines3 import PPO env = gym.make("CartPole-v1", render_mode="human") model = PPO("MlpPolicy", env, ...
AI ML's user avatar
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