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

Write a bash-c shell script, Write a BASH/C shell script which takes a name...

Write a BASH/C shell script which takes a name of a directory as a command line argument, and prints unique login name of the users having files in that directory. Your code should

Appropriate problems for ann learning , Appropriate Problems for ANN learni...

Appropriate Problems for ANN learning - artificial intelligence-  As we did for decision trees, it is essential to know when ANNs are the correct representation scheme for the

Components of magnetic disk, Q. Components of magnetic disk? Disk itsel...

Q. Components of magnetic disk? Disk itself is mounted in a disk drive that comprises arm which is a shaft that rotates disk and the electronics required for input and output b

Decision tree learning, Decision Tree Learning: Furthermore there is s...

Decision Tree Learning: Furthermore there is specified in the last lecture such as the representation scheme we choose to represent our learned solutions and the way that we l

Android projects, how should I do connectivity with google play for my andr...

how should I do connectivity with google play for my android GSM based project

What is an i/o buffer, What is an I/O buffer? I/O buffer: One ty...

What is an I/O buffer? I/O buffer: One type of input-output requirement arises from devices which have a very high character density as disks and tapes. With these chara

Basic computer, The use of Information Technology (IT) is well known. IT ha...

The use of Information Technology (IT) is well known. IT has turn into a must for survival of all business houses with growing information technology trends. Computer is main compo

What is the role of certifying authority, What is the Role of Certifying Au...

What is the Role of Certifying Authority? A certificate authority is a body, that is either public or private, that seeks to fill the requirement for trusted third-party servic

How do you import data from one more access database, The process of import...

The process of importing data from one more Access database follows these common steps they are. ? Preparing the document for import operation and make ensure that extensions ar

Define the concept of typing of object oriented analysis, Define the concep...

Define the concept of Typing of object oriented analysis Typing enforces object class such that objects of different classes cannot be interchanged.  Or we can say that, class

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