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

Explain frequency division multiplexing, Explain FDM and show how CCITT sta...

Explain FDM and show how CCITT standards help in building the base band? Frequency Division Multiplexing: This is the process of combining some information channels through s

Explain client server model, Explain Client Server Model. In the client...

Explain Client Server Model. In the client- server model, communication usually takes the form of a request message from the client to the server asking for several works to be

What is bus arbitration, What is bus arbitration? It is method by which...

What is bus arbitration? It is method by which the next device to become the bus master is selected and bus mastership is transferred to it. There are two ways for doing this:

What is the difference between intranet and extranet, What is the differenc...

What is the difference between intranet and extranet? Given table illustrates brief overview of the differences among the three kinds of the network: Network

Mac address helps in which access control, MAC address helps in (A)  m...

MAC address helps in (A)  multimedia access control. (B)  media access control. (C)  mobile access control. (D) master access point control Ans: MAC addr

Explain the programmable rom (prom) - computer memory, Explain the Programm...

Explain the Programmable ROM (PROM) - Computer Memory? This is a kind of ROM that can be programmed using special equipment it can be written to, but only once and this is usef

Water chemistry, Discuss the problem when a boiler is fed with lime-soda so...

Discuss the problem when a boiler is fed with lime-soda softened water

Differentiate between validation and simulation, Question 1: a) Name a...

Question 1: a) Name and give a brief description of three Real-Time Systems. b) State three downfalls of Embedded Systems. c) Differentiate between a microprocessor an

Explain definition of fibonacci, Explain definition of fibonacci Where ...

Explain definition of fibonacci Where an input value gives a trivial result, it is returned directly, otherwise the function calls itself, passing a changed version of the inpu

Discuss functioning of different network access equipments, Discuss the fun...

Discuss the functioning of different network access equipments. The E1 multiplexers MX2000 and MX2411 and E1/T1 MX200 are giving multi interface user access to network PDH or S

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