GitHub topics: custom-environment

Repositories

pintamonas4575/RL-model-The-Simpsons

Implementation of a Reinforcement Learning (RL) model to learn to scratch the less possible surface on the scratch game of the Badulaque of the app "The Simpsons Springfield".

Language: Python - Size: 25.8 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 3 - Forks: 0

jeffasante/RL-PPO-SharpShooter

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.

Language: Python - Size: 34 MB - Last synced at: 3 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

HasancanCakicioglu/Custom-BlackJack-Environment-ReinforcementLearning

This project involves creating a custom Blackjack environment and training an AI using reinforcement learning techniques, specifically Proximal Policy Optimization (PPO) and Deep Q-Network (DQN). The goal is to teach the AI to play Blackjack and achieve the best possible win rate.

Language: Python - Size: 5.87 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

talhazaidi13/Cascaded-Deep-Reinforcement-Learning-Based-Multi-Revolution-Low-Thrust-Spacecraft-Orbit-Transfer

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.

Language: Python - Size: 26.2 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 5 - Forks: 2