Globally Stable Neural Imitation Policies

1 code implementation • 7 Mar 2024 • Amin Abyaneh, Mariana Sosa Guzmán, Hsiu-Chin Lin

Imitation learning presents an effective approach to alleviate the resource-intensive and time-consuming nature of policy learning from scratch in the solution space.

Imitation Learning

Federated Causal Discovery From Interventions

3 code implementations • 7 Nov 2022 • Amin Abyaneh, Nino Scherrer, Patrick Schwab, Stefan Bauer, Bernhard Schölkopf, Arash Mehrjou

We propose FedCDI, a federated framework for inferring causal structures from distributed data containing interventional samples.

Causal Discovery Federated Learning +1

Pyfectious: An individual-level simulator to discover optimal containment polices for epidemic diseases

1 code implementation • 24 Mar 2021 • Arash Mehrjou, Ashkan Soleymani, Amin Abyaneh, Samir Bhatt, Bernhard Schölkopf, Stefan Bauer

Simulating the spread of infectious diseases in human communities is critical for predicting the trajectory of an epidemic and verifying various policies to control the devastating impacts of the outbreak.