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

What all 1's represents in 32bit ip addressing scheme, In 32bit IP Addressi...

In 32bit IP Addressing scheme all 1's represent? All 1's represent limited broadcast in 32 bit IP Addressing scheme.

What are assets in adobe premiere pro, Question: a) What is the meanin...

Question: a) What is the meaning of the term CTI in Adobe Premiere Pro? b) What are assets in Adobe Premiere Pro? c) In Adobe Premiere Pro, what is the principal diffe

Access to external identifiers, Access to External Identifiers: An external...

Access to External Identifiers: An external identifier is one which is referred in one module though defined in another. You can declare an identifier to be external by including i

Classical approach - canonical genetic algorithm, Classical approach - Cano...

Classical approach - Canonical genetic algorithm: However returning to the classical approach, as there example, whether solving a particular problem involved finding a set of

Explain open source software, Explain Open source software? Open Source...

Explain Open source software? Open Source Software is software for which the underlying programming code is available to the users so that they might be read it, make changes t

Data hazards in computer architecture, Data hazards -  computer architec...

Data hazards -  computer architecture : A main effect of pipelining is to alter the relative timing of instructions by overlapping their execution. This introduces contro

What is read only memory (rom) and define the use of it?, What is Read only...

What is Read only memory (ROM) and Define the Use of it? A simple kind of ROM can be constructed from a decoder, Or gates, and a number of wires. Input

Describe menu in dreamweaver, File Menu: Under it there are New, Save, Sav...

File Menu: Under it there are New, Save, Save as, Save as template, Import, Export, Preview in browser etc. options. Edit Menu: In this menu there are Cut, Copy, Paste, Undo,

Write Your Message!

Captcha
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!

All rights reserved! Copyrights ©2019-2020 ExpertsMind IT Educational Pvt Ltd