Gym Documentation
Gym is a standard API for reinforcement learning, and a diverse collection of reference environments. #. The Gym interface is simple, pythonic, and capable of representing general RL problems:
OpenAI Gym Beta
Apr 27, 2016 · We’re releasing the public beta of OpenAI Gym, a toolkit for developing and comparing reinforcement learning (RL) algorithms. It consists of a growing suite of environments (from simulated robots to Atari games), and a site for comparing and reproducing results.
GitHub - openai/gym: A toolkit for developing and comparing ...
Gym is an open source Python library for developing and comparing reinforcement learning algorithms by providing a standard API to communicate between learning algorithms and environments, as well as a standard set of environments compliant with that API.
Tutorials - Gym Documentation
Getting Started With OpenAI Gym: The Basic Building Blocks; Reinforcement Q-Learning from Scratch in Python with OpenAI Gym; Tutorial: An Introduction to Reinforcement Learning Using OpenAI Gym; An Introduction to Reinforcement Learning with OpenAI Gym, RLlib, and Google Colab; Intro to RLlib: Example Environments
Getting Started With OpenAI Gym - Built In
May 17, 2023 · What Is OpenAI Gym? OpenAI Gym is a free Python toolkit that provides developers with an environment for developing and testing learning agents for deep learning models.
Frozen Lake - Gym Documentation
gym.make("FrozenLake-v1") Frozen lake involves crossing a frozen lake from Start(S) to Goal(G) without falling into any Holes(H) by walking over the Frozen(F) lake. The agent may not always move in the intended direction due to the slippery nature of the frozen lake.
[1606.01540] OpenAI Gym - arXiv.org
Jun 5, 2016 · OpenAI Gym is a toolkit for reinforcement learning research. It includes a growing collection of benchmark problems that expose a common interface, and a website where people can share their results and compare the performance of algorithms.
Leaderboard · openai/gym Wiki - GitHub
This page tracks the performance of user algorithms for various tasks in gym. Previously, users could submit their scores directly to gym.openai.com/envs , but it has been decided that a simpler wiki might do this task more efficiently.
Getting Started With OpenAI Gym: The Basic Building Blocks
Oct 10, 2024 · In this article, I will introduce the basic building blocks of OpenAI Gym. Here is a list of things I have covered in this article. Prerequisites. Python: Beginner’s Python is required to follow along; OpenAI Gym: Access to the OpenAI Gym environment and packages; Topics Covered. Installation; Environments; Spaces; Wrappers; Vectorized ...
Gymnasium Documentation
Gymnasium is a maintained fork of OpenAI’s Gym library. The Gymnasium interface is simple, pythonic, and capable of representing general RL problems, and has a compatibility wrapper for old Gym environments:
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