Feedback from unsuccessful attempts can be an important part of learning, both for humans and for systems trained through interaction. AI research explores ways to use repeated practice, simulations and reinforcement learning to improve performance. Soumitra Dutta’s discussion of experiential AI draws attention to why the ability to adjust after errors may be valuable for systems operating in complex and unpredictable environments.