OpenAI Gym comes packed with a lot of awesome environments, ranging from environments featuring classic control tasks to ones that let you train your agents to play Atari games like Breakout, Pacman, and Seaquest. However, you may still have a task at hand that necessitates the creation of a...
OpenAI Gym comes packed with a lot of awesome environments, ranging from environments featuring classic control tasks to ones that let you train your agents to play Atari games like Breakout, Pacman, and Seaquest. However, you may still have a task at hand that necessitates the creation of a...
Ex. If you have cloned the repository inhome, then, echoexport CHRONO_DATA_DIR=/home/user/gym-chrono/gym-chrono/envs/data/' >> ~/.bashrc source ~/.bashrc For Windows users: Link as reference:https://helpdeskgeek.com/how-to/create-custom-environment-variables-in-windows/ ...
That is to say, your environment must implement the following methods (and inherits from OpenAI Gym Class): import gym from gym import spaces class CustomEnv(gym.Env): """Custom Environment that follows gym interface""" metadata = {'render.modes': ['human']} def __init__(self, arg1,...
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A custom OpenAI gym environment for simulating stock trades on historical price data. - GitHub - Vincces/Stock-Trading-Environment: A custom OpenAI gym environment for simulating stock trades on historical price data.
You need to either import <name of your package> or do gym.make("<name of your package>:tic_tac_toe-v1"), see the creating environment guide for more information: https://github.com/openai/gym/blob/master/docs/creating-environments.md christopherhesse closed this as completed Feb 21, 20...
A custom reinfrocement learning environment for OpenAI Gym & PettingZoo that implements various Stag Hunt-like social dilemma games. - NullDefault/Gym-Stag-Hunt