Master constraint satisfaction problems (CSP) - a fundamental technique for agent planning, scheduling, and configuration tasks where finding any valid solution is the goal.
Master the fundamental problem of sequential decision-making under uncertainty and learn how AI agents balance trying new actions versus exploiting known rewards
Master contextual bandits—the algorithm behind personalized recommendations, A/B testing, and adaptive agents. Learn how to balance exploration and exploitation in real-time decision-making.