learning-rps

Rock Paper Scissor with AI:

Intuition: Users indicate their choice on switches. Both Computer's and user's choices would be indicated on the monitor. Computer has 3 modes: random, markov, and reinforcement. In the last 2 modes, computer will try to win the user by learning the user's pattern of choice. Device: FPGA board, monitor.

Top Level Module

m3

Modules

• m3: integrating the frontend(vga display) and backend(mathmatical computations for the three modes)
• hex_decoder: tranlate the score in decimal to hex display
• screen_display: translate user's and computer's choice into corresponding images on VGA display.
• image_translator: translate the (x,y) coordinate in a 80*120 resolution images to address. The data from here is needed by screen_display for intepreting data stored in Rom
• random: random number generator
• markov: main computation for the markov method
• comparator_matrix: comparator for the markov method
• reinforce: top level module for the reinforce method
• comparator_32: comparator for the reinforce method
• theta: parameter computation for the reinforce method

Module that are not created by us

• VGA adapter
• modules for single-precision floating point computation: float_adder, ALTFP_EXa, float_div, float_multi, float_compare

Other required files

• new_rock.mono.mif
• new_paper.mono.mif
• new_scissor.mono.mif