Scalable Bayesian Inverse Reinforcement Learning by Auto-Encoding Reward

no code implementations • ICLR 2021 • Alex James Chan, Mihaela van der Schaar

Bayesian inference over the reward presents an ideal solution to the ill-posed nature of the inverse reinforcement learning problem.

Bayesian Inference Imitation Learning +2

Generative Time-series Modeling with Fourier Flows

no code implementations • ICLR 2021 • Ahmed Alaa, Alex James Chan, Mihaela van der Schaar

Generating synthetic time-series data is crucial in various application domains, such as medical prognosis, wherein research is hamstrung by the lack of access to data due to concerns over privacy.

Time Series Time Series Analysis