35 citations · 54 across the 6 of their papers we have counts for
7 papers
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,…
Wasserstein Adversarial Imitation Learning
Huang Xiao, Michael Herman, Joerg Wagner +3
Imitation Learning describes the problem of recovering an expert policy from demonstrations. While inverse reinforcement learning approaches are known to be very sample-efficient i…
Nonparametric Hawkes Processes: Online Estimation and Generalization Bounds
Yingxiang Yang, Jalal Etesami, Niao He +1
In this paper, we design a nonparametric online algorithm for estimating the triggering functions of multivariate Hawkes processes. Unlike parametric estimation, where evolutionary…
A New Measure of Conditional Dependence
Jalal Etesami, Kun Zhang, Negar Kiyavash
Measuring conditional dependencies among the variables of a network is of great interest to many disciplines. This paper studies some shortcomings of the existing dependency measur…
On the Vulnerability of Digital Fingerprinting Systems to Finite Alphabet Collusion Attacks
Jalal Etesami, Negar Kiyavash
This paper proposes a novel, non-linear collusion attack on digital fingerprinting systems. The attack is proposed for fingerprinting systems with finite alphabet but can be extend…