⛰ Reinforcement learning model trying to make car reach to top of mountain
-
Updated
Jun 9, 2024 - Python
⛰ Reinforcement learning model trying to make car reach to top of mountain
RealROS is an open-source Python framework that seamlessly integrates with ROS (Robot Operating System) to create real-world robotics environments tailored for reinforcement learning (RL) applications. This modular framework simplifies RL development, enabling real-time training with physical robots
MultiROS is an open-source ROS based simulation environment designed for concurrent deep reinforcement learning. It provides a flexible and scalable framework for training and evaluating reinforcement learning agents for complex robotic tasks.
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
A comprehensive framework for reinforcement learning in robotics, which allows users to train their robots in both simulated and real-world environments.
A standard format for offline reinforcement learning datasets, with popular reference datasets and related utilities
Unified Reinforcement Learning Framework
(Yet another) Reinforcement Learning repository that aims to implement and benchmark various RL algorithms
⚡⚡ Lightning Fast (~300TPS) Reinforcement Learning environment on latest Minecraft 🏝️
An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities
Base Mujoco Gymnasium environment for easily controlling any robot arm with operational space control. Built with dm-control PyMJCF for easy configuration.
A toolkit for auto-generation of OpenAI Gym environments from RDDL description files.
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.
A collection of robotics simulation environments for reinforcement learning
A collection of environments and reference agents for planning and reinforcement learning research in partially observable, multi-agent environments.
A Python program to play the first level of Donkey Kong Country (SNES, 1996), Jungle Hijinks, using the genetic algorithm NEAT (NeuroEvolution of Augmenting Topologies) and Gymnasium, a maintained fork of OpenAI's Gym.
ROS2Gym is a ROS 2 Package that provides a number of utilities designed to facilitate the connection of any ROS setup with a Gymnasium environment.
Gym environments for logistics tasks that can be described as "Move something from A to B"
Add a description, image, and links to the gymnasium topic page so that developers can more easily learn about it.
To associate your repository with the gymnasium topic, visit your repo's landing page and select "manage topics."