Doina Precup - Towards a General Blueprint for Continual Reinforcement Learning
2023 Invited Talk
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Workshop: Intrinsically Motivated Open-ended Learning (IMOL) Workshop
in
Workshop: Intrinsically Motivated Open-ended Learning (IMOL) Workshop
Abstract
Intelligent agents must be able to learn by interacting with their environment and to adapt to changes. Continual reinforcement learning provides a natural way to model this process. In this talk, I will discuss for tackling this problem by constructing abstractions, such as intents, options, affordances and partial models that allow an agent to generalize its knowledge quickly to new circumstances.
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