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

Provision for data buffering, Data buffering is quite helpful for purpose o...

Data buffering is quite helpful for purpose of smoothing out gaps in speed of processor and I/O devices. Data buffers are registers that hold I/O information temporarily. I/O is pe

Create a sliding puzzle, As demonstrated in a simple manner in my Animated ...

As demonstrated in a simple manner in my Animated Tiles example, the purpose of this assignment is to use jQuery animations to develop a simple puzzle using DIV tags and styles. C

Illustrate control and timing signals, Q. Illustrate control and timing sig...

Q. Illustrate control and timing signals? The requirement of I/O from different I/O devices by processor is quite unpredictable. In fact it relies on I/O needs of particular pr

Example of calculate maximum access time & cost of switch, Calculate the ma...

Calculate the maximum access time that can be permitted for the data and control memories in a TSI switch with a single input and single output trunk multiplexing 2500 channels. Al

Spirit duplicating of information, Spirit Duplicating Equipment Requir...

Spirit Duplicating Equipment Required Spirit Duplicator (also known as hectograph) Thermal copier (optional) Materials Masters Hectographic carbon COPY pa

Which processing is not a part of synthesis phase, Which processing is no...

Which processing is not a part of Synthesis phase? Ans. Perform LC processing is not a part of Synthesis phase.

Limitations of experts system, 1. It is hard even for a highly skilled ex...

1. It is hard even for a highly skilled experts to abstract good situational assessment when he is under time pressure. 2. Expert systems perform well with specific t

Computer based optimization and techniques, duality

duality

Hlt instruction is implemented in processor, What happens when HLT instruct...

What happens when HLT instruction is implemented in processor? Ans) The Micro Processor go into the Halt-State and the buses are tri-stated.

What is difference between hold time and setup, What is difference between ...

What is difference between hold time and setup? The interviewer was looking for one exact reason, and it’s really a good answer as well..The hint is hold time doesn't depend onto c

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