Autonomous driving episode generation for the Carla simulator in a gym environment. This framework makes it easy to create driving scenarios to train/test the agent.
-
Updated
May 20, 2024 - Python
Autonomous driving episode generation for the Carla simulator in a gym environment. This framework makes it easy to create driving scenarios to train/test the agent.
Try to reproduce basic example of Deep Q Learning (DQN) with Pytorch
A Gymnasium environment and RL algorithms for navigation on human arms using ultrasound/MRI
Implementation of DQN and DDQN algorithms for Playing Car Racing Game
This repository is a development environment for my thesis which is "Reinforcement learning based automated parking systems".
Gymnasium environment based on real room and robot
Nokia's classic 'snake' game, written in NumPy and converted into a Gymnasium Environment() for use with gradient-based reinforcement learning algorithms
Repository contains codes for the course CS780: Deep Reinforcement Learning
Using Q-Learning methods in Gymnasium to solve various games, very basic implementation.
Maze gymnasium-compatible for Reinforcement learning
The Docker image for the isolated Mujoco environment
Add a description, image, and links to the gymnasium-environment topic page so that developers can more easily learn about it.
To associate your repository with the gymnasium-environment topic, visit your repo's landing page and select "manage topics."