Book Chapter10.4018/978-1-60566-026-4.CH382
Learning Systems Engineering
Valentina Plekhanova
- 01 Jan 2005
- pp 1820-1826
2
About: This article is published in Encyclopedia of Information Science and Technology. The article was published on 01 Jan 2005. The article focuses on the topics: Robot learning & Multi-agent system.
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Citations
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System of systems engineering governance framework for digital transformation: A case study of an Australian large government agency
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References
•Book
Reinforcement Learning: An Introduction
Richard S. Sutton,Andrew G. Barto +1 more
- 01 Jan 1988
TL;DR: This book provides a clear and simple account of the key ideas and algorithms of reinforcement learning, which ranges from the history of the field's intellectual foundations to the most recent developments and applications.
Statistical learning theory
Vladimir Vapnik
- 01 Jan 1998
TL;DR: Presenting a method for determining the necessary and sufficient conditions for consistency of learning process, the author covers function estimates from small data pools, applying these estimations to real-life problems, and much more.
30.4K
Bayesian Reinforcement Learning in Factored POMDPs
Sammie Katt,Frans A. Oliehoek,Christopher Amato +2 more
- 08 May 2019
TL;DR: This paper provides an overview of research and development activities in the field of autonomous agents and multi-agent systems and aims to identify key concepts and applications, and to indicate how they relate to one-another.
Incremental Induction of Decision Trees
TL;DR: An incremental algorithm for inducing decision trees equivalent to those formed by Quinlan's nonincremental ID3 algorithm, given the same training instances is presented, named ID5R.
Elevator Group Control Using Multiple Reinforcement Learning Agents
Robert Crites,Andrew G. Barto +1 more
TL;DR: The power of multi-agent RL on a very large scale stochastic dynamic optimization problem of practical utility is demonstrated, with results that in simulation surpass the best of the heuristic elevator control algorithms of which the author is aware.
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