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custom-environment

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We provide the code repository for our paper This repository includes the necessary code to replicate our experiments and utilize our DRL model for spacecraft trajectory planning. By accessing the repository, researchers and practitioners can benefit from our approach to efficiently transfer spacecraft to GEO using low-thrust propulsion systems.

  • Updated Oct 5, 2023
  • Python

Custom-built Proximal Policy Optimization (PPO) agent learns to master a 2D shooter game. Features from-scratch PPO implementation, Pygame-based environment, and OpenAI Gym integration. Showcases reinforcement learning in game AI, combining advanced algorithm development with practical game design.

  • Updated Aug 29, 2024
  • Python

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