What does the pseudocode for this algorithm in the image attached mean in plain English? (Algorithm 2 — the image attached came from a Computer Science whitepaper with keywords: [Exact] Dynamic Programming, Optimal Decision Trees, Reinforcement Learning, Artificial Intelligence, Interpretability). Please explain with either Python Java code if possible (or any programming language). Also, where can I find a reference that explains all the notation used in this pseudocode found in the image? I see this type of notation frequently but can’t find a key or a reference that explains what type of symbols these all are (except for a few of them which I know to be math symbols). Much of this notation I can’t find a reference to explain what it means anywhere, please advise and thanks in advance.

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
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What does the pseudocode for this algorithm in the image attached mean in plain English? (Algorithm 2 — the image attached came from a Computer Science whitepaper with keywords: [Exact] Dynamic Programming, Optimal Decision Trees, Reinforcement Learning, Artificial Intelligence, Interpretability). Please explain with either Python Java code if possible (or any programming language). Also, where can I find a reference that explains all the notation used in this pseudocode found in the image? I see this type of notation frequently but can’t find a key or a reference that explains what type of symbols these all are (except for a few of them which I know to be math symbols). Much of this notation I can’t find a reference to explain what it means anywhere, please advise and thanks in advance.
Bertsimas and Paskov: An Exact and Interpretable Solution to Wordle
Algorithm 2 Compute V*(8)
Input: Integer t, State 8,, Dictionary[(Set, Integer)→Float] Vmemory
Output: Float V₂* (st)
if t = 6 or (t = 5 and se > 1) then
return
else if t = 5 then
return 1
else if |s₁|1 then
=
return 1
else if |st| = 2 then
return 1.5
else if (s, t) € Vmemory then
return Vmemory [(St, t)]
end if
state_value +00
for action € (s, U(A-st)) do
temp, next states 1, Get_Transition_Info(s,, action)
if next_states.size = 1 and s₁ € next_states then
continue
end if
for St+1 € next states do
21+1-1
temp temp + |0x+1|
end for
for 8+1 next states do
if tempstate_value then
break
else if st+1={action) then
continue
end if
temp temp +Vi+1(8+1)
end for
if temp < state_value then
state_value temp
end if
end for
return state_value
21
▷ Optimization 1
▷ Optimization 2
▷ Optimization 5
▷ Optimization 3
▷ Skip action, no info revealed
▷ Optimization 4
Transcribed Image Text:Bertsimas and Paskov: An Exact and Interpretable Solution to Wordle Algorithm 2 Compute V*(8) Input: Integer t, State 8,, Dictionary[(Set, Integer)→Float] Vmemory Output: Float V₂* (st) if t = 6 or (t = 5 and se > 1) then return else if t = 5 then return 1 else if |s₁|1 then = return 1 else if |st| = 2 then return 1.5 else if (s, t) € Vmemory then return Vmemory [(St, t)] end if state_value +00 for action € (s, U(A-st)) do temp, next states 1, Get_Transition_Info(s,, action) if next_states.size = 1 and s₁ € next_states then continue end if for St+1 € next states do 21+1-1 temp temp + |0x+1| end for for 8+1 next states do if tempstate_value then break else if st+1={action) then continue end if temp temp +Vi+1(8+1) end for if temp < state_value then state_value temp end if end for return state_value 21 ▷ Optimization 1 ▷ Optimization 2 ▷ Optimization 5 ▷ Optimization 3 ▷ Skip action, no info revealed ▷ Optimization 4
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