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

Vugen recording and scripting, LoadRunner script code acquired from recordi...

LoadRunner script code acquired from recording in the ANSI C language syntax, shown by icons in icon view until you click Script View.

Evaluate an interactive product using suitable techniques, This assignment ...

This assignment is based around two UK websites. In order to avoid difficulties such as the websites changing, or disappearing, we have downloaded these websites and you can find t

Gralands robots, You have been contacted by Jean-Luc Picard commanding offi...

You have been contacted by Jean-Luc Picard commanding officer of Star Trek: The Next Generation. The Commander needs your support to develop a software routine to simulate the Robo

Difference between static and dynamic ram, Static RAM: No refreshing, 6 to ...

Static RAM: No refreshing, 6 to 8 MOS transistors are needed to form one memory cell, Information stored as voltage level in a flip flop. Dynamic RAM: Refreshed periodically, 3

Example of perceptrons, Example of perceptrons: Here as an example fun...

Example of perceptrons: Here as an example function in which the AND boolean function outputs a 1 only but if both inputs are 1 and where the OR function only outputs a 1 then

Processors hypercube and utilisation displays, Processors Hypercube Thi...

Processors Hypercube This is specific to in the hypercube: Here, every processor is depicted by the set of nodes of the graph and the several arcs are represented with communic

How many address bits are needed to show a 32 K memory, How many address bi...

How many address bits are required to represent a 32 K memory ? Ans. 32K = 25 x 210 = 215, Hence 15 address bits are needed; Only 16 bits can address this.

Which device converts BCD to seven segment, A device which converts BCD to ...

A device which converts BCD to Seven Segment is called ? Ans. DECODER is a device that converts BCD to Seven Segment. This coverts binary words in alphanumeric characters.

Differentiate between unit testing and integration testing, Unit testing an...

Unit testing and integration testing: Unit testing focuses on the least element of software design by the module. Unit test is conducted on every of the modules to uncover er

Advantages and disadvantages of structured analysis, Advantages and Disadva...

Advantages and Disadvantages of Structured Analysis With time, you will find out that most customers understand structured methods better than object oriented (OO) methods. As

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