Official implementation of the paper "Approximating two value functions instead of one: towards characterizing a new family of Deep Reinforcement Learning Algorithms": https://arxiv.org/abs/1909.01779 To appear at the next NeurIPS2019 DRL-Workshop
This repository contains the reinforcement learning framework for training a 2D car agent to navigate dynamically evolving obstacle courses, developed as a final project for the Reinforcement Learning course (academic year 24/25).
Add a description, image, and links to the ddqn-framework topic page so that developers can more easily learn about it.
To associate your repository with the ddqn-framework topic, visit your repo's landing page and select "manage topics."