Sign In
Not register? Register Now!
Essay Available:
Pages:
1 page/≈275 words
Sources:
No Sources
Level:
Harvard
Subject:
IT & Computer Science
Type:
Other (Not Listed)
Language:
English (U.K.)
Document:
MS Word
Date:
Total cost:
$ 6.08
Topic:

Computer Science And Information Technology Research (Other (Not Listed) Sample)

Instructions:


Completed Order ID: 1995994
Total: $11.74
Upload file
Order info
Instructions
Files
Deadline:
13 May 2017 11:36
Created:
12 May 2017 17:34
Type of work:
Assignment
Subject:
Computer sciences and Information technology
Topic:
Computer Science - Machine Learning
Number of pages:
1 page = 250 words ($11.74/page)
Sources:
0
Completed:
12 May 2017 23:40
Level:
Masters
Formatting style:
Harvard
Language Style:
English (U.K.)
Grade:
2:1 Standard (Normal Charge)
Time zone:
(GMT +8)

source..
Content:

Machine Learning
By Name
Institution of Affiliation
Course
Date
Machine Learning involves an agent taking actions within an environment that would enable maximization for a reward in the long term and find the policy that is capable of mapping states to the actions that the agent will take in those states.
Question 1: Definitions
State: It refers to the set of agents and environments that give a vivid illustration of where the action mapping will take place.
Action: It refers to the characteristic way of identifying the basic problems of a computer system to initiate computational cognitive science and artificial intelligence. It is associated to the animats and intelligent agents.
Reward: It refers to the interpretation of the action in a computer machine learning environment to give a representation of the entire state that is taken back to the agent of the machine learning. It is the scalar immediate outcome of the transition process in the machine learning for basic reinforcement.
Question 2:
A). Using Bellman Equation To Obtain The Values Of V’ To 2 Decimal Places.
The state at the top left = 1
V(s)=r(s)+β∑s′p(s′∣s)r(s′)
Maximization state is given by ∑tβtu(ct)
The constraints of the state is given by at+1=1β(at+yt−ct)
Converting to a stochastic equation, we get 1β=Et[u′(ct+1)u′(ct)] which is formulated by the λt factor To give yt+1=yt+ϵt
Hence, the value of V’ is yt+1=yt+ϵt = 10*2 + 1*2 = 22
Top right = 2. the value of V’ is yt+1=yt+ϵt = 0*2 + 0*2 = 0
Bottom left = 3. the value of V’ is yt+1=yt+ϵt = 0*2 + 5*2 = 10
Bottom right = 4. the value of V’ is yt+1=yt+ϵt = 1*2 + 1*2 = 4
B). Using policy iteration to identify the optimal policy
Step 1: Identify the optimal policy using policy iteration at a discounted factor of γ=0.1 and continue with a larger number from 0.99 to 0.9 and then using a smaller number such as 0.01. start with a random policy  INCLUDEPICTURE "/afs/cs/project/jair/pub/volume4/kaelbling96a-html/img55.gif" \* MERGEFORMATINET 
for each iteration while evaluating each policy  INCLUDEPICTURE "/afs/cs/project/jair/pub/vo...
Get the Whole Paper!
Not exactly what you need?
Do you need a custom essay? Order right now:

Other Topics:

  • Interview Report On Innovation And Technology Practices
    Description: During the course of the research two companies were chosen they were Mphasis and Ricoh India, both having an Information Technology background...
    7 pages/≈1925 words| 11 Sources | Harvard | IT & Computer Science | Other (Not Listed) |
  • Informatics and Financial Applications Research Assignment
    Description: Application of information systems in businesses, more specifically decision support systems (DSS) and cloud computing...
    5 pages/≈1375 words| 7 Sources | Harvard | IT & Computer Science | Other (Not Listed) |
  • Introduction to Telecommunications and Networks Research
    Description: Technology is a powerful tool that forms the backbone of most modern day businesses especially in telecommunication technology where network infrastructure ...
    6 pages/≈1650 words| 8 Sources | Harvard | IT & Computer Science | Other (Not Listed) |
Need a Custom Essay Written?
First time 15% Discount!