Monte Carlo Control On Policy Vs Off Policy

# Monte Carlo Control: On-Policy Vs. Off-Policy Imagine teaching a robot to navigate a maze. You could give it a detailed map (a model), or you could let it wander around, learning from its successes and failures. That's the essence of model-free reinforcement learning. This article dives deep into Monte Carlo methods, a powerful approach to model-free prediction, specifically focusing on the crucial distinction between on-policy and off-policy control. Understanding this difference is key to b