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reinforcement-learning-algorithms

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This repository hosts the code and resources for a comprehensive study on optimizing greenhouse conditions using Reinforcement Learning algorithms such as PPO, A2C, and SAC. For detailed results, explanation of the environments, and the algorithms, please refer to the accompanying report.

  • Updated Aug 27, 2023
  • Jupyter Notebook

Reinforcemenet Learning game of tag with 2 autonomous agents in a 2D environment. The game generation begins with a "tagger" agent whose goal is to tag the other agent, and a second "escaper" agent whose goal is to escape this tagger. The generation ends after either the tagger agent touches the escaper (in which case the tagger wins), or after …

  • Updated Apr 2, 2020
  • Python

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