Berkeley compsci 188 - Study guides, Class notes & Summaries
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Electronic HomeWork 8 University of California, Berkeley COMPSCI 188
- Exam (elaborations) • 14 pages • 2023
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- $9.99
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Q1 HMMs, Part I 
20 Points 
Consider the HMM shown below. 
The prior probability , dynamics model , and sensor model 
are as follows: 
We perform a first dynamics update, and fill in the resulting belief distribution . 
We incorporate the evidence . We fill in the evidence-weighted distribution 
, and the (normalized) belief distribution . 
You get to perform the second dynamics update. Fill in the resulting belief distribution . 
.80 
.20 
P(X0 ) P(X ∣ t+1 Xt) P(E ∣ t Xt) 
B (X ) 
′ 
1 
E...
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HW Elec 05 University of California, Berkeley COMPSCI 188
- Exam (elaborations) • 16 pages • 2023
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- $10.49
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Q1 Model-Based RL: Grid 
5 Points 
What model would be learned from the above observed episodes? 
T(A, south, C) = 
1 
T(B, east, C) = 
1 
T(C, south, E) = 
.75 
T(C, south, D) = 
.25 
Q2 Model-Based RL: Cycle 
22 Points 
We recommend you work out the solutions to the following questions 
on a sheet of scratch paper, and then enter your results into the 
answer boxes. 
Consider an MDP with 3 states, A, B and C; and 2 actions Clockwise 
and Counterclockwise. We do not know the transition function...
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