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maze-world


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Author: Anurag Koul
License: MIT License
Summary: Random maze environments with different size and complexity for reinforcement learning and planning research. This is in-particular to investigate generalization and planning ability in dynamically changing environment.
Latest version: 0.0.1
Required dependencies: gymnasium | matplotlib | pygame | scipy
Optional dependencies: black | furo | imageio | jupyter | myst-nb | myst-parser | nbsphinx | pandoc | pytest | pytest-cases | pytest-cov | sphinx | sphinx-autobuild | sphinx-copybutton | sphinx-design | sphinx-favicon | sphinx-prompt | sphinxcontrib-katex | sphinxext-opengraph | xdoctest

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