OpenAI Gym

E17413

open-source software reinforcement learning library software toolkit

OpenAI Gym is a toolkit for developing and comparing reinforcement learning algorithms through a standardized collection of environments and interfaces.

Aliases (1)

Atari environments ×1

Statements (48)

Predicate	Object
instanceOf	open-source software → reinforcement learning library → software toolkit →
category	OpenAI projects → Python libraries → reinforcement learning software →
compatibleWith	JAX → PyTorch → TensorFlow →
defines	Env API →
developer	OpenAI →
feature	benchmark tasks → standardized collection of environments → standardized interfaces →
genre	machine learning → reinforcement learning →
hasComponent	Atari environments → Box2D environments → MuJoCo environments → algorithmic environments → classic control environments → toy text environments →
hasSuccessor	Gymnasium →
influenced	Gymnasium → PettingZoo → RLlib → Stable Baselines →
influencedBy	Arcade Learning Environment →
initialReleaseDate	2016 →
interface	render function → reset function → seed function → step function →
license	MIT License →
programmingLanguage	Python →
provides	standard RL benchmarking protocol →
purpose	compare reinforcement learning algorithms → develop reinforcement learning algorithms →
repository	https://github.com/openai/gym →
supports	OpenAI Baselines → continuous action spaces → discrete action spaces → observation spaces → vectorized environments →
usedFor	benchmarking RL algorithms → education in reinforcement learning → research in reinforcement learning →
website	https://gym.openai.com →

Referenced by (6)

Subject (surface form when different)	Predicate
OpenAI Baselines →	compatibleWith
Env API →	definedIn
OpenAI →	developed
OpenAI Gym ("Atari environments") →	hasComponent
TF-Agents →	supportsEnvironment
Stable Baselines →	supportsEnvironmentInterface