Popular GitHub Repositories for Dql

The Double Inverted Pendulum consists of two joint pendulums connected to a cart that is moving on a track, the RL agent needs to keeps in equilibrium the Double Inverted Pendulum.

This repository contains code to train and test policies for a MPE environment (Simple Spread). Training is done using DQL for independent learning. Testing was done using 3 different policies: RL, Simple Policy, Complex Policy.

A DQL implementation with keras

The "Deep Q-Learning Agent for Traffic Signal Control" is an AI-driven solution that leverages Deep Q-Learning (DQL) to optimize traffic signal control at intersections. This project aims to address traffic congestion and improve traffic flow by training an intelligent agent to make real-time decisions for traffic signal timing.

Human-level control using Deep Reinforcement Learning (deep Q learning) in OpenAI's gym cartpole environment with pytorch

Comparison of Neuroevolution and DQL to train agents on gym environment (Flappy bird)

Implementation of the paper "What Did You Think Would Happen? Explaining Agent Behaviour through Intended Outcomes" and our experiments.