Pinned Repositories
Active_flow_control_past_cylinder_using_DRL
DeepReinforcementLearning_RayleighBenard2D_Control
Control of 2D Rayleigh Benard Convection using Deep Reinforcement Learning with Tensorforce and Shenfun.
DRL
Deep Reinforcement Learning
MA-AIRL
Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.
machine-learning-applied-to-cfd
Examples of how to use machine learning algorithms in computational fluid dynamics.
machine-learning-turbulence
maddpg-pytorch
PyTorch Implementation of MADDPG (Lowe et. al. 2017)
MARL_LES
Repository for data and scripts of "Automating Turbulence Modeling by Multi-Agent Reinforcement Learning"
tf_deep_rl_trader
Trading Environment(OpenAI Gym) + PPO(TensorForce)
turbulence-modeling-PIML
Data-driven Reynolds stress modeling with physics-informed machine learning
jwcy0529's Repositories
jwcy0529/Inverse-Reinforcement-Learning
Implementations of selected inverse reinforcement learning algorithms.
jwcy0529/Cylinder2DFlowControlDRL
code for performing active flow control of the 2D Karman street using Deep Reinforcement Learning
jwcy0529/machine-learning-applied-to-cfd
Examples of how to use machine learning algorithms in computational fluid dynamics.
jwcy0529/TurbAna
A Python toolkit to calculate and visualize turbulence anisotropy and turbulent viscosity from Reynolds stress tensor data.
jwcy0529/COLA
Codes for the paper "Consensus Learning for Cooperative Multi-Agent Reinforcement Learning"
jwcy0529/naca0012_shock_buffet
OpenFOAM simulations of transonic shock buffets at a NACA-0012 airfoil
jwcy0529/OpenFOAM_HiSA_PyTorch
OpenFoam + HiSA installation and compilation + PyTorch(C++) installation.
jwcy0529/TorchFoam2
A package to run OpenFOAM simulations and process the data for use in PyTorch.
jwcy0529/TRPO-PPO-in-MARL
jwcy0529/flow_past_cylinder_by_DRL
code for active flow control of flow around cynder using Deep Reinforcement Learning
jwcy0529/gdrl
Grokking Deep Reinforcement Learning
jwcy0529/openFoamUserManual
克隆至:https://gitee.com/poplee/openFoamUserManual
jwcy0529/OpenFOAM-Cases-Interfluo
OpenFOAM cases from my YouTube channel
jwcy0529/Active_flow_control_past_cylinder_using_DRL
jwcy0529/constitutive-neural-networks
Learning nonlocal constitutive models with neural networks
jwcy0529/BasicOpenFOAMProgrammingTutorials
Introduces basic C++ concepts to beginner users of the OpenFOAM open-source CFD libraries.
jwcy0529/RL_control_Nek5000
jwcy0529/para-database-for-PIML
jwcy0529/Veen_OpenFOAM_Cases
jwcy0529/fenics-DRL
Repository from the paper https://arxiv.org/abs/1908.04127, to train Deep Reinforcement Learning in Fluid Mechanics Setup.
jwcy0529/Soft-Actor-Critic-and-Extensions
PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL + D2RL and parallel Environments.
jwcy0529/m-curl
M-CURL: Masked Contrastive Representation Learning for Reinforcement Learning
jwcy0529/curl
CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning
jwcy0529/MARL_LES
Repository for data and scripts of "Automating Turbulence Modeling by Multi-Agent Reinforcement Learning"
jwcy0529/phasic-policy-gradient
An implementation of Phasic Policy Gradient, a proposed improvement of Proximal Policy Gradients, in Pytorch
jwcy0529/velocity_pridiction_LSTM
jwcy0529/Evolutionary-Reinforcement-Learning
Codebase for Evolutionary Reinforcement Learning (ERL) from the paper "Evolution-Guided Policy Gradients in Reinforcement Learning" published at NeurIPS 2018
jwcy0529/ML_model_for_Reynolds_stresses
Machine learning to predict Reynolds stresses in a transitional boundary layer fluid flow
jwcy0529/falling-liquid-film-drl
The code used, and a docker image to run it, of the paper `Exploiting locality and physical invariants to design effective Deep Reinforcement Learning control of the unstable falling liquid film`
jwcy0529/maddpg-pytorch
PyTorch Implementation of MADDPG (Lowe et. al. 2017)