gym
A Python toolkit for developing and comparing reinforcement learning algorithms through a standard API and environment set.
What is gym?
Gym is a Python library for developing and comparing reinforcement learning algorithms. It provides a standard API for communication between learning algorithms and environments, along with a comprehensive set of benchmark environments. The library has become the field standard for reinforcement learning research and experimentation.
Reinforcement learning researchers, AI practitioners, and developers who need to implement, test, and compare RL algorithms in standardized environments.
Gym offers a standardized, reproducible framework that accelerates RL research by providing consistent environments and APIs, enabling fair algorithm comparisons and reducing implementation overhead.
Overview
A toolkit for developing and comparing reinforcement learning algorithms.
Use Cases
Best For
- Implementing and testing new reinforcement learning algorithms
- Comparing performance of different RL approaches on standardized benchmarks
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