Deep reinforcement learning

Machine learning that combines deep learning and reinforcement learning

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📌 Topics

Cybersecurity (1)
Machine Learning (1)
Adversarial Attacks (1)
AI in Hardware (1)
Circuit Design Automation (1)
Deep Learning Applications (1)

🏷️ Keywords

Deep reinforcement learning (2) · Cross-site scripting (1) · Adversarial attacks (1) · Web security (1) · XSS (1) · Cybersecurity (1) · Machine learning (1) · Evaluation (1) · Analog circuits (1) · Mixed-signal design (1) · Circuit synthesis (1) · AstRL (1) · Integrated circuits (1) · Design automation (1) · arXiv (1)

📖 Key Information

Deep reinforcement learning (deep RL) is a subfield of machine learning that combines reinforcement learning (RL) and deep learning. RL considers the problem of a computational agent learning to make decisions by trial and error. Deep RL incorporates deep learning into the solution, allowing agents to make decisions from unstructured input data without manual engineering of the state space.

📰 Related News (2)

🇺🇸 Cross-site scripting adversarial attacks based on deep reinforcement learning: Evaluation and extension study (2026-03-23)
arXiv:2502.19095v2 Announce Type: replace-cross Abstract: Cross-site scripting (XSS) poses a significant threat to web application security. While De...
🇺🇸 AstRL: Analog and Mixed-Signal Circuit Synthesis with Deep Reinforcement Learning (2026-02-16)
arXiv:2602.12402v1 Announce Type: cross Abstract: Analog and mixed-signal (AMS) integrated circuits (ICs) lie at the core of modern computing and com...

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Internet security · 1 shared articles
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