'Iteration algorithm' presentation slideshows

Introduction to GSI

616 views • 48 slides

Introduction to GSI

486 views • 48 slides

Overview of GSI

572 views • 45 slides

Reinforcement Learning I: The setting and classical stochastic dynamic programming algorithms

Reinforcement Learning I: The setting and classical stochastic dynamic programming algorithms. Tuomas Sandholm Carnegie Mellon University Computer Science Department. passive. Learner. active. Reinforcement Learning (Ch. 17.1-17.3, Ch. 20). Sequential decision problems. Approaches :

544 views • 42 slides

Artificial Intelligence

Artificial Intelligence. CH 17 Making complex decisions. Group (9). Team Members : Ahmed Helal Eid Mina Victor William Supervised by : Dr. Nevin M. Darwish. Agenda. Introduction Sequential Decision Problems Optimality in sequential decision problems Value Iteration

661 views • 36 slides