Välkommen tillbaka till Campusbokhandeln! Vi firar med inlämningskampanj: Lämna in din kurslitteratur – få 150 :- och chansen att vinna 1 000 :-. Läs mer här!
Reinforcement Learning Algorithms: Analysis and Applications | 1:a upplagan
- Danskt band, Engelska, 2021
- Författare: Boris Belousov, Hany Abdulsamad
- Betyg:
1310
kr
Skickas inom 7-13 vardagar
Butikslager
Onlinelager
I lager hos leverantör
Fler utgåvor
-
Novel Bioinspired Actuator Designs for Robotics (2021)
568 kr
-
Artificial Intelligence in Industry 4.0 (2021)
1416 kr
-
Artificial Intelligence and Machine Learning for COVID-19 (2021)
1151 kr
-
Flexible and Generalized Uncertainty Optimization (2021)
992 kr
-
Heuristics for Optimization and Learning (2020)
1522 kr
-
Machine Intelligence and Big Data Analytics for Cybersecurity Applications (2020)
1734 kr
-
Recent Advances in Computational Optimization (2020)
1522 kr
-
Advances in Neural Computation, Machine Learning, and Cognitive Research IV (2020)
2157 kr
-
Bio-inspired Neurocomputing (2020)
2041 kr
-
Machine Learning Algorithms for Industrial Applications (2020)
1734 kr
-
Soft Computing for Biomedical Applications and Related Topics (2020)
1522 kr
Beskrivning
This book reviews research developments in diverse areas of reinforcement learning such as model-free actor-critic methods, model-based learning and control, information geometry of policy searches, reward design, and exploration in biology and the behavioral sciences. Special emphasis is placed on advanced ideas, algorithms, methods, and applications.
The contributed papers gathered here grew out of a lecture course on reinforcement learning held by Prof. Jan Peters in the winter semester 2018/2019 at Technische Universität Darmstadt.
The book is intended for reinforcement learning students and researchers with a firm grasp of linear algebra, statistics, and optimization. Nevertheless, all key concepts are introduced in each chapter, making the content self-contained and accessible to a broader audience.
The contributed papers gathered here grew out of a lecture course on reinforcement learning held by Prof. Jan Peters in the winter semester 2018/2019 at Technische Universität Darmstadt.
The book is intended for reinforcement learning students and researchers with a firm grasp of linear algebra, statistics, and optimization. Nevertheless, all key concepts are introduced in each chapter, making the content self-contained and accessible to a broader audience.
Produktinformation
Kategori:
Okänd
Bandtyp:
Danskt band
Språk:
Engelska
Förlag:
Springer Nature
Upplaga:
1
Utgiven:
2021-01-03
ISBN:
9783030411879
Sidantal:
206