PyGame Learning Environment
Basic Information
PyGame Learning Environment (PLE) is a Python-based reinforcement learning environment built around the PyGame library. It serves as a collection of interactive, game-like simulation environments where agents can observe state, take actions, and receive rewards. The repository is intended for researchers, students, and developers who need accessible, programmable environments to develop and evaluate reinforcement learning algorithms. It emphasizes a lightweight, Python-native approach to creating episodic tasks and simulations that model control and decision-making problems. The project provides the scaffolding for running experiments, interacting with environments programmatically, and iterating on agent designs using familiar Python tooling.
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