Master Thesis: Limit order placement with Reinforcement Learning
-
Updated
Aug 22, 2018 - Jupyter Notebook
Master Thesis: Limit order placement with Reinforcement Learning
An OpenAI Gym environment for the Flappy Bird game
An OpenAi Gym environment for the Job Shop Scheduling problem.
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
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…
MATE: the Multi-Agent Tracking Environment.
🐍 🏋 OpenAI GYM for Nintendo NES emulator FCEUX and 1983 game Mario Bros. + Double Q Learning for mastering the game
YAWNING TITAN is an abstract, graph based cyber-security simulation environment that supports the training of intelligent agents for autonomous cyber operations.
Backgammon OpenAI Gym
MATE: the Multi-Agent Tracking Environment.
OpenAI Gym wrapper for the Quanser Qube and Quanser Aero
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 environment for Platform
OpenAI Gym Robot Arm Environment in 2D
OpenAI Gym Environment for Low-Latency Trading
A self-driving car OpenAI Gym environment
VANET simulation using Veins-Gym to combine Veins with Reinforcement Learning
OpenAI Gym environment for Robot Soccer Goal
Add a description, image, and links to the openai-gym-environment topic page so that developers can more easily learn about it.
To associate your repository with the openai-gym-environment topic, visit your repo's landing page and select "manage topics."