safe-autonomous-systems/fluidgym

An RL-Gym for Challenge Problems in Data-Driven Modeling and Control of Fluid Dynamics.

This project contains a simulation framework for leveraging deep reinforcement learning in studying of the fluid dynamics. Stable BaseLine 3 and WaterLily are essential.

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

Reinforcement learning environment for wind farm control. Mirror of https://gitlab.windenergy.dtu.dk/sys/windgym

Reinforcement learning environments for process control applications.

A toolkit for developing and comparing reinforcement learning algorithms.

Puffing up reinforcement learning

bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.