22 citations · 87 across the 19 of their papers we have counts for
6 papers · 1 filter
Markov Decision Processes with Time-Varying Geometric Discounting
Jiarui Gan, Annika Hennes, Rupak Majumdar +2
Canonical models of Markov decision processes (MDPs) usually consider geometric discounting based on a constant discount factor. While this standard modeling approach has led to ma…
Stochastic Principal-Agent Problems: Efficient Computation and Learning
Jiarui Gan, Rupak Majumdar, Debmalya Mandal +1
We introduce a stochastic principal-agent model. A principal and an agent interact in a stochastic environment, each privy to observations about the state not available to the othe…
Robust Stackelberg Equilibria
Jiarui Gan, Minbiao Han, Jibang Wu +1
This paper provides a systematic study of the robust Stackelberg equilibrium (RSE), which naturally generalizes the widely adopted solution concept of the strong Stackelberg equili…
k-Prize Weighted Voting Games
Wei-Chen Lee, David Hyland, Alessandro Abate +5
We introduce a natural variant of weighted voting games, which we refer to as k-Prize Weighted Voting Games. Such games consist of n players with weights, and k prizes, of possibly…
Learning to Manipulate a Commitment Optimizer
Yurong Chen, Xiaotie Deng, Jiarui Gan +1
It is shown in recent studies that in a Stackelberg game the follower can manipulate the leader by deviating from their true best-response behavior. Such manipulations are computat…
Online Reinforcement Learning with Uncertain Episode Lengths
Debmalya Mandal, Goran Radanovic, Jiarui Gan +2
Existing episodic reinforcement algorithms assume that the length of an episode is fixed across time and known a priori. In this paper, we consider a general framework of episodic…