Gym Electric Motor (GEM): An OpenAI Gym Environment for Electric Motors
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Updated
May 23, 2024 - Python
Gym Electric Motor (GEM): An OpenAI Gym Environment for Electric Motors
FinRL-Meta: Dynamic datasets and market environments for FinRL.
OpenAI Gym interface for Universal Robots with ROS Gazebo
A collection of useful environments for testing Reinforcement Learning algorithms. Designed (mostly) with discrete, graph-based methods in mind.
Environment for OpenAI Gym which can simulate an app deployed to a cloud environment.
The development of an AI agent proficient in the classic game 'Breakout,' utilizing deep reinforcement learning and a DQN architecture.
A Reinforcement Mario game using the PPO(Proximal Policy Optimization) algorithm and OpenAI gym environment.
OpenAi's gym environment wrapper to vectorize them with Ray
Smart Nanogrid Gym is an OpenAI Gym environment for simulation of a smart nanogrid incorporating renewable energy systems, battery energy storage systems, electric vehicle charging station, grid connection, a connected building and using vehicle-to-everything methodology.
In this project, we aim to balance the pole in OpenAI's Gym, Cartpole environment using different Deep Learning techniques.
💥💥 This is a easy installable extension for OpenAi Gym Environment. This simulates SpaceX Falcon landing.
OpenAI Gym environments for an open-source quadruped robot (SpotMicro)
Implement hill-climbing method with adaptive noise scaling
Collection of OpenAI parametrized action-space environments.
Developed a Multi-Agent DDPG to solve Vehicle Scheduling problem.
OpenAI Gym wrapper for the Quanser Qube and Quanser Aero
An OpenAI Gym environment for stock market data
Designing a control system to exploit model-free deep reinforcement learning algorithms to solve a real-world autonomous driving task of a small robot.
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