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

Background, Background, Examples and Hypothesis: Now we will switch of...

Background, Examples and Hypothesis: Now we will switch off with three logic programs. So very firstly, we will have the logic program representing a set of positive examples

How many types of stages include in process of data mining, How many types ...

How many types of stages include in process of data mining? The process of data mining comprised three stages as given below: a) The initial exploration b) Model buildin

Prepurchase and purchase consummation of consumer mercantile, Differentiate...

Differentiate between Prepurchase and Purchase Consummation of consumer mercantile model. The prepurchase interaction for consumers comprises three activities: Product/ser

C program, program to find minimum total number of shelfs

program to find minimum total number of shelfs

Explain ps-2 connector, PS/2 connector (PS/2 keyboards): These were int...

PS/2 connector (PS/2 keyboards): These were introduced with IBM's PS/2 computers and therefore are known as PS/2 connectors.  They have 6-pins but actually their wiring is just

Explain working of bit serial associative processor, Q. Explain working of ...

Q. Explain working of Bit Serial Associative Processor? When associative processor accepts bit serial memory organization subsequently it is known as bit serial associative pr

Cell array variable , a)   Make a cell array variable that would kept for a...

a)   Make a cell array variable that would kept for a student his or her name, university id number, and GPA.  Print this information. b) Make a structure variable that would kept

Every sheet in a workbook in excel, Is there a way to apply the same format...

Is there a way to apply the same formatting to every  sheet in a workbook in Excel? Ans)  Yes. To do this, you will require to right click on one of the worksheet tabs and th

Local minima - sigmoid units, Local minima - sigmoid units: Alternativ...

Local minima - sigmoid units: Alternatively in addition to getting over some local minima where the gradient is constant in one direction or adding momentum will increase the

Explain characteristics of latch and flip-flop, Explain characteristics of ...

Explain characteristics of Latch and Flip-Flop. Latches are level-sensitive and transparent While the clock is high it passes input value to Output While the clock is l

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