There are 3 repositories under openai-gym-environment topic.
Framework for developing OpenAI Gym robotics environments simulated with Ignition Gazebo
Master Thesis: Limit order placement with Reinforcement Learning
An OpenAi Gym environment for the Job Shop Scheduling problem.
An OpenAI Gym environment for the Flappy Bird game
Chargym simulates the operation of an electric vehicle charging station (EVCS) considering random EV arrivals and departures within a day. This is a generalised environment for charging/discharging EVs under various disturbances (weather conditions, pricing models, stochastic arrival-departure EV times and stochastic Battery State of Charge (BOC) at arrival). This is an open source OpenAI Gym environment for the implementation of Reinforcement Learning (RL), Rule-based approaches (RB) and Intelligent Control (IC).
💥💥 This is a easy installable extension for OpenAi Gym Environment. This simulates SpaceX Falcon landing.
YAWNING TITAN is an abstract, graph based cyber-security simulation environment that supports the training of intelligent agents for autonomous cyber operations.
🐍 🏋 OpenAI GYM for Nintendo NES emulator FCEUX and 1983 game Mario Bros. + Double Q Learning for mastering the game
Backgammon OpenAI Gym
MATE: the Multi-Agent Tracking Environment.
An OpenAI gym environment for futures trading
A custom reinfrocement learning environment for OpenAI Gym & PettingZoo that implements various Stag Hunt-like social dilemma games.
OpenAI Gym Robot Arm Environment in 2D
VANET simulation using Veins-Gym to combine Veins with Reinforcement Learning
OpenAI Gym Environment for Low-Latency Trading
OpenAI Gym environment for Platform
Designing a control system to exploit model-free deep reinforcement learning algorithms to solve a real-world autonomous driving task of a small robot.
OpenAI Gym wrapper for the Quanser Qube and Quanser Aero
OpenAI Gym Environment for Reinforcement Learning with Mario Kart Wii
Control Traffic lights intelligently with Reinforcement Learning!
solution to mountain car problem of OpenAI Gym
Configurable Curriculum Learning Domain for Reinforcement Learning Agents. As specified by [Narvekar, Sanmit, Jivko Sinapov, and Peter Stone. "Autonomous Task Sequencing for Customized Curriculum Design in Reinforcement Learning." IJCAI. 2017.]
A self-driving car OpenAI Gym environment
A PettingZoo AECEnv implementation of the board game Fanorona
Create Custom GYM Environment for SUMO and reinforcement learning agant
Pybullet conversion of the OpenAI Gym fetch_reach environment. Uses a franka emika panda robot.
Minesweeper: A standardized openAI gym environment implementing Minesweeper game
OpenAI Gym Environment for Quadrotors