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

State the advantages of real time processing, Real time (transaction) proce...

Real time (transaction) processing In real time (transaction) processing files are generally updated in real time (for example when booking flights on an airplane); however in

Pruning and sorting, Pruning and Sorting: This means we can test where...

Pruning and Sorting: This means we can test where each hypothesis explains as entails a common example that we can associate to a hypothesis a set of positive elements in whic

What are the major characteristics of a pipeline, What are the major charac...

What are the major characteristics of a pipeline? The major characteristics of a pipeline are: a) Pipelining cannot be executed on a single task, as it works by splitting mu

Define the architectural framework for electronic commerce, Define the Arch...

Define the Architectural framework for electronic commerce. An application independent framework to categorize service interaction relies onto four fundamental dimensions a.

Determine the indicator variables in a random forest, Given a dataset with ...

Given a dataset with 1000 rows and 25 predictors labeled x1, x2, ...,x25 to classify into two classes {a, b}. Consider the small random forest with 3 trees and one split in each tr

Datastucture, dqueue

dqueue

Define the addressing modes, Q. Define the ADDRESSING MODES? The elemen...

Q. Define the ADDRESSING MODES? The elementary set of operands in 8086 can reside in memory, register and immediate operand. How can these operands be retrievedby various addre

Security protocols used for e-commerce applications, Explain dissimilar sec...

Explain dissimilar security protocols used for e-commerce applications.   The e-commerce systems of today are composed of a number of components including: a commerce server, d

What is process control block, What is process control block?  Each pro...

What is process control block?  Each process is shown in the OS by a process control block. It having many pieces of information associated with a specific process.

What is event-based simulator, Event-based Simulator Digital  Logic  S...

Event-based Simulator Digital  Logic  Simulation  method  sacrifices  performance  for  rich  functionality:  each active signal  is  calculated  for  every  device  it  propa

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