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Monte-Carlo Planning: Introduction and Bandit Basics

Monte-Carlo Planning: Introduction and Bandit Basics. Alan Fern. Large Worlds. We have considered basic model-based planning algorithms Model-based planning : assumes MDP model is available Methods we learned so far are at least poly-time in the number of states and actions

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576 views • 43 slides

Josh: Tic-tac-toe

Josh: Tic-tac-toe. Where might you find bandit problems?. Clinical Trials Feynman: restaurants E-advertising (Yahoo, MSFT) Rewards to users (Diabetes study, DMN). Utility functions. Action-Value Methods. ? -greedy Vs. running update?. Action-Value Methods. ? -greedy Vs. running update?.

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404 views • 25 slides

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Bandit algorithms - PowerPoint PPT Presentation

Monte-Carlo Planning: Introduction and Bandit Basics

Josh: Tic-tac-toe