Implementation of Q-learning on “Paper Soccer Game”

In this project “Paper Soccer” game was implemented by Python. Two agents were designed and Q-learning (a method of Reinforcement learning) was applied used for automation. Agents learned the play by playing together and also a human player. After succeeding in the software phase, the hardware implementation was done by ISE software on Spartan 6 FPGA. I am proud of doing this project with Tandis Bahramrad as a teammate.