A custom reinforcement learning environment for the Hot or Cold game. The agent navigates a 100x100 grid to find a randomly placed target while receiving rewards based on proximity and success.
python machine-learning reinforcement-learning openai-gym gym-environment 2d-environment reinforcement-learning-environments custom-gym-environment hot-or-cold
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Updated
Sep 20, 2024 - Jupyter Notebook