This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."

CompleX Group Interactions (XGI) is a Python package for higher-order networks.

Numerical integration of Ito or Stratonovich SDEs

An annotated implementation of the Transformer paper.

Digital twin of nonlinear system based on reservoir computing (RC) with an external driving

A code to apply reservoir computer to infer short-term causal dependence in a dynamical systems and network links from time-series data

The repository is for safe reinforcement learning baselines.

Deep BSDE solver in TensorFlow

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

Code for the paper "Next Generation Reservoir Computing"

SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics

Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gym environments

Implementation of benchmark RL algorithms

Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

莫烦Python Website source code

data assimilation for the 1-d Kuramoto-Sivashinsky equation

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

Characterization of Chimera using Machine Learning

Using machine learning to replicate chaotic attractors and calculate Lyapunov exponents from data. Chaos 27, 121102 (2017); https://doi.org/10.1063/1.5010300

Reinforcement learning with artificial neural networks in python

Quantum circuits for simulations of quantum chemistry and materials.

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

A practical approach to learning machine learning.

Example TensorFlow codes and Caicloud TensorFlow as a Service dev environment.

for algorithm implementation and testing.