Advances in Reinforcement Learning

Reinforcement Learning (RL) is a very dynamic area in terms of theory and application. This book brings together many different aspects of the current research on several fields associated to RL which has been growing rapidly, producing a wide variety of learning algorithms for different applications. Based on 24 Chapters, it covers a very broad variety of topics in RL and their application in autonomous systems. A set of chapters in this book provide a general overview of RL while other chapters focus mostly on the applications of RL paradigms: Game Theory, Multi-Agent Theory, Robotic, Networking Technologies, Vehicular Navigation, Medicine and Industrial Logistic

1989 November

MSU Clip Sheet newsletters published in November of 1989

The Whitworthian 1993-1994

The Whitworthian student newspaper, September 1993-May 1994.https://digitalcommons.whitworth.edu/whitworthian/1077/thumbnail.jp

The Whitworthian 1963-1964

The Whitworthian student newspaper, September 1963-May 1964.https://digitalcommons.whitworth.edu/whitworthian/1047/thumbnail.jp

The Wellesley News (02-28-1969)

https://repository.wellesley.edu/wcnews/1226/thumbnail.jp

The Whitworthian 1955-1956

The Whitworthian student newspaper, September 1955-June 1956.https://digitalcommons.whitworth.edu/whitworthian/1039/thumbnail.jp