Prof. Amos Storkey

Amos Storkey's group conducts research into reinforcement learning, control and planning. We care about transferability and efficiency - how can we develop methods that can quickly and data-efficiently adapt to new tasks or new environments, or new devices. We also care about distributed and multi-agent learning - how can different agents with different tasks interact to improve local learning and build a shared understanding.