21 citations · 59 across the 20 of their papers we have counts for
10 papers · 1 filter
Network-Based Epidemic Control Through Optimal Travel and Quarantine Management
Mahtab Talaei, Apostolos I. Rikos, Alex Olshevsky +2
Motivated by the swift global transmission of infectious diseases, we present a comprehensive framework for network-based epidemic control. Our aim is to curb epidemics using two d…
Visually Robust Adversarial Imitation Learning from Videos with Contrastive Learning
Vittorio Giammarino, James Queeney, Ioannis Ch. Paschalidis
We propose C-LAIfO, a computationally efficient algorithm designed for imitation learning from videos in the presence of visual mismatch between agent and expert domains. We analyz…
MDP Geometry, Normalization and Reward Balancing Solvers
Arsenii Mustafin, Aleksei Pakharev, Alex Olshevsky +1
We present a new geometric interpretation of Markov Decision Processes (MDPs) with a natural normalization procedure that allows us to adjust the value function at each state witho…
On Value Iteration Convergence in Connected MDPs
Arsenii Mustafin, Alex Olshevsky, Ioannis Ch. Paschalidis
This paper establishes that an MDP with a unique optimal policy and ergodic associated transition matrix ensures the convergence of various versions of the Value Iteration algorith…
Provably Efficient Off-Policy Adversarial Imitation Learning with Convergence Guarantees
Yilei Chen, Vittorio Giammarino, James Queeney +1
Adversarial Imitation Learning (AIL) faces challenges with sample inefficiency because of its reliance on sufficient on-policy data to evaluate the performance of the current polic…
Multiple-policy Evaluation via Density Estimation
Yilei Chen, Aldo Pacchiano, Ioannis Ch. Paschalidis
We study the multiple-policy evaluation problem where we are given a set of policies and the goal is to evaluate their performance (expected total reward over a fixed horizon)…