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16.412J/6.835 Intelligent Embedded Systems Prof. Brian Williams Rm 37-381 Rm NE43-838 Williams@mit.edu MW 11-12:30, Rm 33-418
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Planning as Heuristic Forward Search Brian C. Williams Sept. 30th, 2002 16.412J/6.834J Outline Introduction to FF FF Search Algorithm FF Heuristic Fn Planning as ...
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Finite Capacity Scheduling 6.834J, 16.412J Overview of Presentation What is Finite Capacity Scheduling? Types of Scheduling Problems Background and History of Work ...
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Guidelines for completing Problem Set 3 and for your Advanced Lecture proposal. ... Due Wednesday, Oct 3rd in class. Part A: Refine Problem set 3 presentation: ...
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Engine. Thrust (b, 200) Delta_V(direction=b, magnitude=200) Power. contains ... Search engine. Engine. Goals. Initial state. Plan. Domain Knowledge. Planning ...
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Representation: Model problem as a Dynamic Bayesian Network ... time t through the transition model and condition it on our evidence at time t 1. ...
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Title: IJCAI Introduction Subject: IJCAI Invited Talk Last modified by: Margaret Yoon Created Date: 3/29/1998 5:47:53 PM Document presentation format
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Solutions are often sub-optimal. Centralized Methods ... Sub-optimal. Simple Algorithm. Repeat until map is complete. Repeat #free robots times ...
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Optional Reading: : Planning and Acting in Partially Observable Stochastic ... With no model, agent can't choose action from V ...
... model as an MDP create a policy for acting that maximizes lifetime reward ... plus life time reward starting in target state V(d(s, a)) ... discounted by g. ...
