Adversarial attacks on Deep Reinforcement Learning (RL)

Deep Reinforcement Learning for Trading

Reinforcement Learning for Autonomous Satellite Constellation Scheduling and Earth Observation Optimization

AI agent game competition - Reinforcement learning (Monte Carlo Tree Search, Deep Q-learning, Minimax)

Learn to play roulette using Reinforcemente Learning (RL) with a DQN agent

Graduation Project 2023, an intelligent traffic management system that combines reinforcement learning along with simulation.

Reinforcement Learning: Q-Learning and Deep Q-Learning to train artificial agents that can play the famous game of Nim.

A simple game aimed at training an artificial agent to play it considerably well.

基于DQN算法的投球2D仿真，没有考虑空气阻力，仅用于算法理解

Implement the Scripted and DQN Agents for Pysc2 BuildMarines Minigame with PyTorch

This project integrates MicroK8s (lightweight Kubernetes) with Reinforcement Learning (RL) for adaptive autoscaling compared to traditional solutions (HPA/CA).

FinSearch Research Competition

The aim of this repository is the analysis and study of computer intelligence and in-depth learning techniques in the development of intelligent gaming agents.

Fine-tuning LLM agents w online RL for XiangQi (Chinese Chess)

A game-playing AI that uses Deep-Q Networks to play Checkers

DQN Atari Pong game

A reinforcement learning-enhanced phishing email detection system, designed to address the evolving challenges of adversarial spam and class imbalance in real-world email environments.

ELEC70121 Trustworthy Artificial Intelligence in Medical Imaging - final project

This project implements a Deep Q-Network (DQN) agent trained in a custom Gymnasium environment called HomeFoodEnvStatic. The agent learns to navigate a grid-based world to reach a desired food goal while avoiding distractions ("hell states") using reinforcement learning.