32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.
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Jun 17, 2021 - Jupyter Notebook
32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.
Repository containing code and notebooks exploring how to solve Gymnasium's Car Racing through Reinforcement Learning
Simple Car racing
Typing Speed Car Racing Game in Web using HTML,CSS & JavaScript , Game according to your Typing Speed WPM
Proximal Policy Optimization (PPO) algorithm for training an agent to master the CarRacing-v3
This project demonstrates the creation of a moving racing car along with a race track and scenery.
Own researches in reinforcement learning using openai-gym.
A simple project to nourish the concepts of object oriented programming with extensive use of SFML library along with 2.5d approach for the game environment.
Feature-based image processing and PPO/SAC ray-feature evaluation for Gymnasium CarRacing-v3.
Explora cómo distintos enfoques de Deep Reinforcement Learning resuelven la tarea de conducir un coche lo más rápido posible sin salirse de pista en CarRacing-v3
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