IEEE

Deep Reinforcement Learning for Autonomous Internet of Things: Model, Applications and Challenges

Abstract: The Internet of Things (IoT) extends the Internet connectivity into billions of IoT devices around the world, where the IoT devices collect and share information to reflect status of the ...
IEEE

Enhancing Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization

Abstract: Generative Diffusion Models (GDMs) have emerged as a transformative force in the realm of Generative Artificial Intelligence (GenAI), demonstrating their versatility and efficacy across ...
www.cs.cmu.edu

Machine Learning, 10-701 and 15-781, 2003

It is hard to imagine anything more fascinating than automated systems that improve their own performance. The study of learning from data is commercially and scientifically important. This course is ...
PNAS

Time-scale invariant contingency yields one-shot reinforcement learning despite extremely long delays to reinforcement

An information-theoretic model correctly predicts that rats quickly learn an instrumental action despite a 16-min delay to reinforcement, challenging basic assumptions in reinforcement learning ...
GitHub

meta-reinforcement-learning

The proceedings of top conference in 2023 on the topic of Reinforcement Learning (RL), including: AAAI, IJCAI, NeurIPS, ICML, ICLR, ICRA, AAMAS and more. The proceedings of top conference in 2021 on ...
C&EN

The Experimentalist’s Guide to Machine Learning for Small Molecule Design

Department of Bioengineering, University of Illinois, Urbana−Champaign, Illinois 61801, United States Department of Chemical and Biomolecular Engineering, University of Illinois, Urbana−Champaign, ...
Electronic Design

MATLAB Deep Learning Toolbox Streamlines AI Development

MathWorks’ MATLAB 2018b release serves up a number of new features, including the Deep Learning Toolbox that supports development of machine-learning applications. Other new features include the 5G ...