This repo is the executive module for a Deep Reinforcement Learning (DRL) framework (note the diagram below). The other related repos remain private.

Deep Q Learning for the Banana collection Navigation project - Udacity Nanodegree

Udacity DRL optional Crawler

[TPDS 2025] EdgeAIBus: AI-driven Joint Container Management and Model Selection Framework for Heterogeneous Edge Computing

A Scalable & Modular Networked Approach to TorchRL Environments for Quick DRL Development

TORCS patched for deep reinforcement learning.

RuleEngine based on Red hat jboss BRMS using drool rules.

Auto Driving based on DRL

Implementation of q-learning and deep q-learning

My DRL(Deep Reinforcement Learning ) algorithm demo, base on pytorch and gym environment.

PyTorch application of reinforcement learning DDPG and PPO algorithms in Unity 3D-Ball

Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone

This project evaluates radiopharmaceutical dose administration in nuclear medicine procedures by comparing typical administered doses with national Diagnostic Reference Levels (DRL). The study aims to assess dose optimization practices and ensure radiation safety compliance.

Sample for Spring Boot integration with Drools.

TASTE

A curated list of research papers, code, and tools applying deep reinforcement learning (DRL) to cloud/microservice resource scheduling and autoscaling.

Student thesis project about model-based deep reinforcement learning for controlling the flow past a cylinder

Sample start to learn drools

Cricket Lightweight CAM tool for PCB files (Gerber & Drill) – executable release