'Optimal policy maximizes value' diaporamas de présentation

Planning under Uncertainty with Markov Decision Processes: Lecture I

Planning under Uncertainty with Markov Decision Processes: Lecture I. Craig Boutilier Department of Computer Science University of Toronto. Planning in Artificial Intelligence. Planning has a long history in AI

1.04k views • 89 slides

Monte-Carlo Planning: Basic Principles and Recent Progress

859 views • 73 slides

Markov Decision Processes

Markov Decision Processes. * Based in part on slides by Alan Fern, Craig Boutilier and Daniel Weld. Atomic Model for stochastic environments with generalized rewards. Deterministic worlds + goals of attainment. Stochastic worlds +generalized rewards.

534 views • 38 slides

Markov Decision Processes

Markov Decision Processes. Alan Fern *. * Based in part on slides by Craig Boutilier and Daniel Weld. Classical Planning Assumptions. Actions. Percepts. World. sole source of change. perfect. ???? . deterministic. fully observable. instantaneous.

494 views • 29 slides