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Composition

In this line of work, the research team is interested in techniques that allow an agent to quickly leverage past knowledge to solve new tasks. In particular, the research team focuses on how agents can acquire behaviours that can be combined to generate interesting, novel abilities. One particular focus is applying Boolean operators to learned behaviours to generate probably optimal solutions to new tasks. These approaches are not only human-understandable but also result in a combinatorial explosion in an agent’s abilities, which is key to tackling the multitasking or lifelong learning setting.

Artificial Intelligence, Behavior Composition, Machine learning, Reinforcement Learning