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/MA-AIRL
Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.
jwcy0529/machine-learning-turbulence
jwcy0529/maddpg-pytorch
PyTorch Implementation of MADDPG (Lowe et. al. 2017)
jwcy0529/turbulence-modeling-PIML
Data-driven Reynolds stress modeling with physics-informed machine learning
jwcy0529/HPC-A
Numerical Simulation and Visualization of 2D Rayleigh--Bénard Convection [Qt, VTK, OpenFOAM]
jwcy0529/spearmint
Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012