Simple Gridworld Gymnasium Environment
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Updated
May 27, 2024 - Python
Simple Gridworld Gymnasium Environment
Various OpenAI projects and experiments implemented in Python. Utilizes all OpenAI APIs.
Data pre-processing with modular components for: normalizer/standarizer, unbiaser, trimmer and feature selector.
Python library for Reinforcement Learning.
Deep reinforcement learning for smart calibration of radio telescopes. Automatic hyper-parameter tuning.
The project focuses on motion planning for a wide range of robotic structures using deep reinforcement learning (DRL) algorithms to solve the problem of reaching a static or random target within a pre-defined configuration space.
Non-cooperative satellite operations challenge problems implemented in the Kerbal Space Program game engine
This repository implements the use of AI for robot tasks.
OpenAI Gym wrapper for the DeepMind Control Suite
Gym Electric Motor (GEM): An OpenAI Gym Environment for Electric Motors
A Type-1 Diabetes simulator implemented in Python for Reinforcement Learning purpose
Modular reinforcement learning library (on PyTorch and JAX) with support for NVIDIA Isaac Gym, Isaac Orbit and Omniverse Isaac Gym
Texas holdem OpenAi gym poker environment with reinforcement learning based on keras-rl. Includes virtual rendering and montecarlo for equity calculation.
A collection of multi agent environments based on OpenAI gym.
Train quadruped locomotion using reinforcement learning in Mujoco
Global Markets Options Pricing
Self-driving car simulator for the Duckietown universe
A Catkin workspace designed to simplify the setup and use of the ROS Gazebo Gym framework.
Framework for integrating ROS and Gazebo with gymnasium, streamlining the development and training of RL algorithms in realistic robot simulations.
A bare-bones Python library for quality diversity optimization.
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