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

When recursion functions are declared inline, Describe what happens when re...

Describe what happens when recursion functions are declared inline? Ans) Inline functions property says whenever it will call; it will copy the whole definition of that functi

Interrupt - driven input-output, Q. Interrupt - Driven Input-output? Pr...

Q. Interrupt - Driven Input-output? Problem with programmed I/O is that processor has to wait a long time for I/O interface to see whether a device is free or waits until compl

Difference between field-group header and other field groups, What is the d...

What is the difference between field-group header and other field groups? The header field group is a particular field group for the sort criteria.  The system automatically p

NORMAL FORM, WHAT IS 3 NF

WHAT IS 3 NF

Define register file, Define register file. All general purpose registe...

Define register file. All general purpose registers are combined into a one block called the register file.

#artificial intelligence, does matlab contain procedures for knoledge repre...

does matlab contain procedures for knoledge representation? if yes where can i find it?

State about the object models, State about the Object models Object mo...

State about the Object models Object models are used for explaining the objects in the system and their connection with each other in the system. The dynamic model explains in

Illustrate tcp - ip networking model, Q. Illustrate TCP - IP Networking Mod...

Q. Illustrate TCP - IP Networking Model? TCP/IP is an acronym for Transmission Control Protocol / Internet Protocol. It is a collection of applications, protocols and services.

Recursion to an iterative procedure, The data structure required to convert...

The data structure required to convert a recursion to an iterative procedure is  Stack is the data structure required to convert a recursion to an iterative procedure

Nature of intelligence, From the early AI pioneering stage the research ...

From the early AI pioneering stage the research emphasis has been on developing machines with intelligent behaviour. Machine intelligence however is hard to achieve. Some

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