Q-function Reinforcement Learning

Reward Function Learning for Q-learning-Based Geographic Routing Protocol

Abstract: This letter proposes a new scheme that uses Reward Function Learning for Q-learning-based Geographic routing (RFLQGeo) to improve the performance and efficiency of unmanned robotic networks ...

IEEE

Deep Reinforcement Learning-Based Automatic Test Pattern Generation

Abstract: Automatic test pattern generation (ATPG) is a key technology in digital circuit testing. In this paper, we propose an ATPG method based on deep reinforcement learning (DRL), aiming to reduce ...

AZoOptics

Researchers Design AI-Driven Photonic Crystal Fiber Modulator

A deep reinforcement learning framework optimizes silicon-based photonic crystal fiber modulators, achieving ultra-low ...

GitHub

Machine learning algorithms

This project is targeting people who want to learn internals of ml algorithms or implement them from scratch. The code is much easier to follow than the optimized libraries and easier to play with.

Opinion

Bar and BenchOpinion

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Reward Function Learning for Q-learning-Based Geographic Routing Protocol

Deep Reinforcement Learning-Based Automatic Test Pattern Generation

Researchers Design AI-Driven Photonic Crystal Fiber Modulator

Machine learning algorithms

Beyond the agreement paradigm: Regulating algorithmic collusion under the Competition Act, 2002

North County

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