A wrapper framework for Reinforcement Learning in the Webots robot simulator using Python 3.

Framework for developing OpenAI Gym robotics environments simulated with Ignition Gazebo

An OpenAi Gym environment for the Job Shop Scheduling problem.

Master Thesis: Limit order placement with Reinforcement Learning

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).

An OpenAI Gym environment for the Flappy Bird game

YAWNING TITAN is an abstract, graph based cyber-security simulation environment that supports the training of intelligent agents for autonomous cyber operations.

💥💥 This is a easy installable extension for OpenAi Gym Environment. This simulates SpaceX Falcon landing.

Backgammon OpenAI Gym

🐍 🏋 OpenAI GYM for Nintendo NES emulator FCEUX and 1983 game Mario Bros. + Double Q Learning for mastering the game

MATE: the Multi-Agent Tracking Environment.

A custom reinforcement learning environment for OpenAI Gym & PettingZoo that implements various Stag Hunt-like social dilemma games.

An OpenAI gym environment for futures trading

OpenAI Gym Robot Arm Environment in 2D

VANET simulation using Veins-Gym to combine Veins with Reinforcement Learning

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 Environment for Reinforcement Learning with Mario Kart Wii

OpenAI Gym Environment for Low-Latency Trading

OpenAI Gym environment for Robot Soccer Goal

OpenAI Gym wrapper for the Quanser Qube and Quanser Aero

Control Traffic lights intelligently with Reinforcement Learning!

Create Custom GYM Environment for SUMO and reinforcement learning agant

DeepDip, a DRL Gym agent that plays no-press Diplomacy in BANDANA

Pybullet conversion of the OpenAI Gym fetch_reach environment. Uses a franka emika panda robot.

A custom open ai gym environment for solo experimentation.

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A PettingZoo AECEnv implementation of the board game Fanorona

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.]

Minesweeper: A standardized openAI gym environment implementing Minesweeper game