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Project description
RL-Worlds 
RL-Worlds is a collection of reinforcement learning (RL) environments designed to help researchers, students, and enthusiasts study and implement RL algorithms. All environments in this repository are built to adhere to the Gymnasium environment format, making them compatible with a wide range of RL libraries and tools.
Available Environments
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🐾 Random Walk
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🌟 Thousand States Random Walk
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🌍 Grid World
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🌬️ Windy Grid World
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