35 citations · 55 across the 21 of their papers we have counts for
4 papers · 1 filter
Optimal Experiments for Partial Causal Effect Identification
Tobias Maringgele, Jalal Etesami
Causal queries are often only partially identifiable from observational data, and experiments that could tighten the resulting bounds are typically costly. We study the problem of…
On Identifiability of Conditional Causal Effects
Yaroslav Kivva, Jalal Etesami, Negar Kiyavash
We address the problem of identifiability of an arbitrary conditional causal effect given both the causal graph and a set of any observational and/or interventional distributions o…
Non-cooperative Multi-agent Systems with Exploring Agents
Jalal Etesami, Christoph-Nikolas Straehle
Multi-agent learning is a challenging problem in machine learning that has applications in different domains such as distributed control, robotics, and economics. We develop a pres…
Causal Transfer for Imitation Learning and Decision Making under Sensor-shift
Jalal Etesami, Philipp Geiger
Learning from demonstrations (LfD) is an efficient paradigm to train AI agents. But major issues arise when there are differences between (a) the demonstrator's own sensory input,…