10 Dec
Lecture: AI Systems that Learn by Doing. Autonomous Agents in Science and Medicine
Reinforcement learning (RL) provides a framework for building AI systems that learn through action — by trying, observing outcomes, and improving. Unlike supervised learning, where models are told the right answer, RL agents discover what works through the consequences of their decisions.