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cylinder2dflowcontroldrl

code for performing active flow control of the 2D Karman street using Deep Reinforcement Learning

cylinder2dflowcontrolgeneral

Robust active flow control over a range of Reynolds numbers using artificial neural network trained through deep reinforcement learning

drl_ppo_cavityflow

drl_shape_optimization

Deep reinforcement learning to perform shape optimization

minimalrl

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

popular-rl-algorithms

PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..

ppo-for-beginners

A simple and well styled PPO implementation. Based on my Medium series: https://medium.com/@eyyu/coding-ppo-from-scratch-with-pytorch-part-1-4-613dfc1b14c8.

ppo-pytorch

Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

rl-baselines3-zoo

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

rl-turbulence-control

rl3linkfish

Learning to swim in potential flow via reinforcement learning

rl_control_nek5000

rlfluidcontrol

reinforcement learning for active fluid control

td3-pytorch-bipedalwalker-v2

Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment

turbulencecontrolcode

Control of turublent flow with DRL (Test Code)