pyrddlgym-project/pyRDDLGym

The Flatland Framework is a multi-purpose environment to tackle problems around resilient resource allocation under uncertainty. It is designed to be a flexible and method agnostic to solve a wide range of problems in the field of operations research and reinforcement learning.

Simple and easily configurable grid world environments for reinforcement learning

A standard API for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

A toolkit for developing and comparing reinforcement learning algorithms.

Reinforcement learning environments for process control applications.

Isaac Gym Reinforcement Learning Environments

A collection of robotics simulation environments for reinforcement learning

Tactics2D: A Reinforcement Learning Environment Library with Generative Scenarios for Driving Decision-making

A construction kit for reinforcement learning environment management.