User Account

All Pages

mathlab , Computer Engineering

Assignment Help:
Windy Grid World

This assignment is to use Reinforcement Learning to solve the following "Windy Grid World" problem illustrated in the above picture. Each cell in the image is a state. There are four actions: move up, down, left, and right. This is a deterministic domain -- each action deterministically moves the agent one cell in the direction indicated. If the agent is on the boundary of the world and executes an action that would move it "off" of the world, it remains on the grid in the same cell from which it executed the action.
Notice that there are arrows drawn in some states in the diagram. These are the "windy" states. In these states, the agent experiences an extra "push" upward. For example, if the agent is in a windy state and executes an action to the left or right, the result of the action is to move left or right (respectively) but also to move one cell upward. As a result, the agent moves diagonally upward to the left or right.
This is an episodic task where each episode lasts no more than 30 time steps. At the beginning of each episode, the agent is placed in the "Start" state. Reward in this domain is zero everywhere except when the agent is in the goal state (labeled "goal" in the diagram). The agent receives a reward of positive ten when it executes any action {\it from} the goal state. The episode ends after 30 time steps or when the agent takes any action after having landed in the goal state.
You should solve the problem using Q-learning. Use e-greedy exploration with epsilon=0.1 (the agent takes a random action 10 percent of the time in order to explore.) Use a learning rate of 0.1 and a discount rate of 0.9.
The programming should be done in MATLAB. Students may get access to MATLAB here. Alternatively, students may code in Python (using Numpy). If the student would rather code in a different language, please see Dr Platt or the TA.
Students should submit their homework via email to the TA ([email protected]) in the form of a ZIP file that includes the following:
1. A PDF of a plot of gridworld that illustrates the policy and a path found by Q-learning after it has approximately converged. The policy plot should identify the action taken by the policy in each state. The path should begin in the start state and follow the policy to the goal state.
2. A PDF of a plot of reward per episode. It should look like the diagram in Figure 6.13 in SB.
3. A text file showing output from a sample run of your code.
4. A directory containing all source code for your project.
5. A short readme file enumerating the important files in your submission.
Updates
You can initialize the Q function randomly or you can initialize it to a uniform value of 10. That is, you can initialize Q such that each value in the table is equal to 10.
There have been questions about how to know when the algorithm has converged. The algorithm has converged when the value function has stopped changing signficantly and the policy has stopped changing completely. Since we are using q-learning, the algorithm should converge to a single optimal policy.
Please also submit a short readme file with your homework that enumerates the important files in your submission.

Related Discussions:- mathlab

Define b2b - business to business, B2B - Business to Business  It is a...

B2B - Business to Business  It is a mode of conducting business among two or more companies over the Internet, rather than more traditional modes like as telephone, mail, and f

Perform multiplication with showing content of accumulator, Perform multipl...

Perform multiplication with showing the contents of accumulator, B register and Y register during each step. (Accumulator, B, Y are 4-bit registers) B=06 Y=02

What are the characteristics of sram, What are the characteristics of SRAM?...

What are the characteristics of SRAM? SRAM are fast They are volatile They are of high cost Less density

Write short note on associated vs. common channel signaling, Write short no...

Write short note on Associated vs. Common channel signaling. Associated vs Common channel signalling: The out band signalling suffers from the very restricted bandwidth.

What is locality of reference, What is locality of reference? Analysis ...

What is locality of reference? Analysis of program represents that many instructions ion localized areas of the program are implemented repeatedly during some time period, and

What layers are covered under end to end layer connectivity, What layers ar...

What layers are covered under end to end layer connectivity? The layers 4 to 7 of ISO-OSI reference model communicate along with peer entities into the end systems. There is n

Mode counter, desing mode level counter starting at 0011 using D flipflop

desing mode level counter starting at 0011 using D flipflop

What is gdpro and magicdraw uml, What is GDPro and  MagicDraw UML GDP...

What is GDPro and  MagicDraw UML GDPro : This  is a full suite of code  management tools and UML. MagicDraw UML: UML diagrams fully support this: MagicDraw RConverter a

What is the difference among save and save as, Use SAVE when you are revisi...

Use SAVE when you are revising an existing document. Use SAVE AS when you are making a new document from scratch or an existing document. This will remain the original document

What is dialog box, This is a small window that is demanding your attention...

This is a small window that is demanding your attention. You must respond before you can carry on using the program that shown the dialog box. A dialog box does not have a minimize

Write Your Message!

Captcha
Order Assignment

Featured Services

Order Now

Popular Subjects

Free Assignment Quote

Assured A++ Grade

Get guaranteed satisfaction & time on delivery in every assignment order you paid with us! We ensure premium quality solution document along with free turntin report!

Submit Assignment

Academics

Major Subjects

Majors

Get In Touch

whatsapp: +91-977-207-8620

Phone: +91-977-207-8620

Email: [email protected]

TERMS & POLICIES

HELP & SUPPORT

All rights reserved! Copyrights ©2019-2020 ExpertsMind IT Educational Pvt Ltd