Manifold Embeddings for Model-Based Reinforcement Learning under Partial Observability

no code implementations • NeurIPS 2009 • Keith Bush, Joelle Pineau

Interesting real-world datasets often exhibit nonlinear, noisy, continuous-valued states that are unexplorable, are poorly described by first principles, and are only partially observable.

Model-based Reinforcement Learning reinforcement-learning +1