declanoller/cat_mouse_continuous_RL
Using DDPG and A2C reinforcement learning algorithms to solve a math puzzle
This project helps you explore the classic "Cat and Mouse" math puzzle using advanced computational techniques. It takes in parameters describing the cat's behavior and the puzzle environment. The output shows how different strategies perform and their training progress over time. This tool is ideal for researchers or enthusiasts interested in mathematical game theory and how artificial intelligence can solve such problems.
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Use this if you want to apply and experiment with reinforcement learning algorithms like DDPG and A2C to understand and solve mathematical puzzles or simplified game scenarios.
Not ideal if you're looking for a general-purpose reinforcement learning library for real-world control problems or complex game development, as this is specifically tailored to a single math puzzle.
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Language
Python
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Last pushed
Sep 03, 2019
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