Python Program based on Reinforcement Learning (Tictactoe Game) - IT Computer Science Assignment Help

Assignment Task

Python Program based on Reinforcement Learning (Tictactoe Game)

Code is already given; there will be a human move and computer move.

Task 1:

Declare a variable that decides the board layout (for example 3 implies 3 x 3 board) Make changes to the code such that the opponent (who plays 'O') is automated using a probability transition function.

Details

1. Model the state space and action space for Tictactoe game.
2. Create an arbitrary probability transition function
3. Make use of the above probability transition function to decide the move of the opponent(computer)

In this part, human move will be performed by yourself using the mouse itself. Only the opponent move is automated.

You can use any probability distribution function (uniform or normal distribution)to make choice of computer move.

Task 2 (Computer move is automated using probability transition function in the same way like Task-1)

1. Create an arbitrary policy
2. Make changes to the code to follow that policy (This means the mouse click is no more required. The code will follow the policy to find human move)

Using some random choice human move will be performed.

Task 3:

Find an optimal policy for human move using RL algorithms: (Computer move is automated using probability transition function in the same way like Task-1)

1. Policy iteration algorithm
2. Value iteration algorithm
3. Q learning algorithm

All the modifications have to be done in this code (No new code should be written).

All the tasks have to be implemented as a separate python program.

Code:

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