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Reinforcement Learning: Deep Q-Networks

Towards Data Science
Teaching a shuttle to land on the moon using Deep Q-Networks in Python: A mathematical deep dive into Reinforcement Learning. Cristian Leo.
4 months ago

Trajectory optimization of UAV-IRS assisted 6G THz network using deep reinforcement learning approach

Nature
This paper studies UAV-IRS trajectory planning problems in THz networks. The problem is formulated as an optimization problem aiming to minimize UAVs-IRS...
2 months ago

Robust ASV Navigation Through Ground to Water Cross-Domain Deep Reinforcement Learning

Frontiers
This paper presents a framework to alleviate the Deep Reinforcement Learning (DRL) training data sparsity problem that is present in challenging domains by...
3 months ago

Slice admission control in 5G cloud radio access network using deep reinforcement learning: A survey

Wiley Online Library
This review article comprehensively explains the current state-of-the-art DRL-based SAC, focusing on C-RANs.
4 months ago

Rainbow: The Colorful Evolution of Deep Q-Networks 🌈

Towards Data Science
In 2013, the introduction of Deep Q-Networks (DQN) by Mnih et al.[1] marked the first breakthrough in Deep Reinforcement Learning,...
3 months ago

Leader–follower UAVs formation control based on a deep Q-network collaborative framework

Nature
This study examines a collaborative framework that utilizes an intelligent deep Q-network to regulate the formation of leader–follower Unmanned Aerial Vehicles...
7 months ago

Develop Your First AI Agent: Deep Q-Learning

Towards Data Science
Building a reinforcement learning gym using Deep Q-Learning is a great start, as it does not require advanced knowledge to implement, can be easily expanded to...
10 months ago

Adaptive Actuation of Magnetic Soft Robots Using Deep Reinforcement Learning

Wiley Online Library
It is aimed to develop an intelligent method to solve the inverse problem of finding workable magnetic fields for the actuation of strip-like soft robots.
20 months ago

A Gentle Introduction to Deep Reinforcement Learning in JAX

Towards Data Science
We'll discover and learn to implement Deep Q-Networks (DQN) and replay buffers to solve OpenAI's CartPole environment. All of that in under a second using JAX!
10 months ago

Learning the Dynamic Treatment Regimes from Medical Registry Data through Deep Q-network

Nature
This paper presents the deep reinforcement learning (DRL) framework to estimate the optimal Dynamic Treatment Regimes from observational medical data.
68 months ago