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- ---
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- license: mit
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: mit
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+ tags:
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+ - reinforcement-learning
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+ - agent
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+ - ppo
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+ - pytorch
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+ - gymnasium
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+ ---
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+
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+ # Reinforcement Learning in Robotic and Simulated Environments
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+ - Environment: Hopper-v5
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+ - Algorithm: PPO
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+ - Steps: 1M
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+ - Average reward: 2200
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+ - Network layer size: 256
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+
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+ Both .pth (for neural network) and .npz (for observation preprocessing) files need to be loaded in order to work correctly.