Invited Talk
in
Workshop: Intrinsically Motivated Open-ended Learning (IMOL) Workshop
Doina Precup - Towards a General Blueprint for Continual Reinforcement Learning
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.
Chat is not available.