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

MATLAB example on how to use Reinforcement Learning for developing a financial trading model

Adaptive dynamic programming

出版书籍《机器学习入门到实践——MATLAB实践应用》一书中的实例程序。涉及监督学习，非监督学习和强化学习。(code for book "Machine Learning Introduction & action in MATLAB")

Implementing a Reinforcement Learning algorithm based upon a partially observable Markov decision process, applicable in modelling decision making.

Develop agent-based traffic management system by model-free reinforcement learning

This repository showcases a hybrid control system combining Reinforcement Learning (Q-Learning) and Neural-Fuzzy Systems to dynamically tune a PID controller for an Autonomous Underwater Vehicle (AUV). The implementation aims to enhance precision, adaptability, and robustness in underwater environments.

Train a reinforcement learning agent to play a variation of Pong®

TD-Regularized Actor-Critic Methods

We explore the application of deep reinforcement learning in the field of robotic control, the cooperative and competitive behavior of multi-agents in different game types, including RPG and MOBA, cloud infrastructure, and software engineering as well.

We use reachability to ensure the safety of a decision agent acting on a dynamic system in real-time. We compute the Forward Reachable Set offline and use it online to adjust any potentially unsafe decisions that cause a collision with an obstacle.

reinforcement learning for power grid optimal operations and maintenance

A Machine Learning Approach for Power Allocation in HetNets Considering QoS

Code accompanying the paper: Mattar, M. G., & Daw, N. D. (2018). Prioritized memory access explains planning and hippocampal replay. bioRxiv, 225664.

Memristor Reinforcement Learning

使用深度强化学习解决视觉跟踪和视觉导航问题

Reinforcement Learning-based Mobile Robot Navigation

Minimal Policy Search Toolbox

We propose a driver modeling process of an intelligent autonomous driving policy, which is obtained through Q-learning.

This repository contains the Matlab code used to generate the results in the paper “Enhancement of a state-of-the-art RL-based detection algorithm for Massive MIMO radars” https://ieeexplore.ieee.org/abstract/document/9760145