'Always finite' diaporamas de présentation

Reinforcement Learning Part 1

Reinforcement Learning Part 1. Markov Decision Processes (MDPs), Value, and Search. Outline of Lecture. Markov Decision Processes What are they conceptually? What are they formally? Value Functions Using standard search methods. Computer Science. Databases. Networks.

591 views • 45 slides

551 views • 31 slides

Reasoning About Active Network Protocols

Reasoning About Active Network Protocols. Samrat Bhattacharjee Kenneth L. Calvert Ellen W. Zegura. Objective. To present a model that supports reasoning about the correctness of the underlying active network platform the injected algorithm independent of the injected program. Overview.

354 views • 26 slides

Stefano Gattei

Stefano Gattei. METHODOLOGY FOR THE SOCIAL SCIENCES. IMT Institute for Advanced Studies , Lucca 2011. stefano.gattei@imtlucca.it http://www.imtlucca.it/stefano.gattei. WHAT IS A PROBLEM?

394 views • 24 slides

How Wrong is your Model? Efficient Quantification of Model Risk

394 views • 23 slides