  We present a Reinforcement Learning (RL) methodology to bypass Google
reCAPTCHA v3. We formulate the problem as a grid world where the agent learns
how to move the mouse and click on the reCAPTCHA button to receive a high
score. We study the performance of the agent when we vary the cell size of the
grid world and show that the performance drops when the agent takes big steps
toward the goal. Finally, we used a divide and conquer strategy to defeat the
reCAPTCHA system for any grid resolution. Our proposed method achieves a
success rate of 97.4% on a 100x100 grid and 96.7% on a 1000x1000 screen
resolution.
