2 code implementations • 16 Oct 2023 • Diego Gomez, Michael Bowling, Marlos C. Machado
The ability to learn good representations of states is essential for solving large reinforcement learning problems, where exploration, generalization, and transfer are particularly challenging.
no code implementations • 16 May 2020 • Diego Gomez, Nicanor Quijano, Luis Felipe Giraldo
While humans and animals learn incrementally during their lifetimes and exploit their experience to solve new tasks, standard deep reinforcement learning methods specialize to solve only one task at a time.