5 papers · 1 filter
Reinforcement Learning for Multi-Objective and Constrained Markov Decision Processes
Ather Gattami, Qinbo Bai, Vaneet Agarwal
In this paper, we consider the problem of optimization and learning for constrained and multi-objective Markov decision processes, for both discounted rewards and expected average…
Reinforcement Learning of Markov Decision Processes with Peak Constraints
Ather Gattami
In this paper, we consider reinforcement learning of Markov Decision Processes (MDP) with peak constraints, where an agent chooses a policy to optimize an objective and at the same…
Team Decision Problems with Convex Quadratic Constraints
Ather Gattami
In this paper, we consider linear quadratic team problems with an arbitrary number of quadratic constraints in both stochastic and deterministic settings. The team consists of play…
Multi-Objective Linear Quadratic Team Optimization
Ather Gattami
In this paper, we consider linear quadratic team problems with an arbitrary number of quadratic constraints in both stochastic and deterministic settings. The team consists of play…
Deterministic Team Problems with Signaling Incentive
Ather Gattami
This paper considers linear quadratic team decision problems where the players in the team affect each other's information structure through their decisions. Whereas the stochastic…