17 citations · 30 across the 6 of their papers we have counts for
6 papers
Thompson sampling for linear quadratic mean-field teams
Mukul Gagrani, Sagar Sudhakara, Aditya Mahajan +2
We consider optimal control of an unknown multi-agent linear quadratic (LQ) system where the dynamics and the cost are coupled across the agents through the mean-field (i.e., empir…
Approximate information state for approximate planning and reinforcement learning in partially observed systems
Jayakumar Subramanian, Amit Sinha, Raihan Seraj +1
We propose a theoretical framework for approximate planning and learning in partially observed systems. Our framework is based on the fundamental notion of information state. We pr…
Decentralized linear quadratic systems with major and minor agents and non-Gaussian noise
Mohammad Afshari, Aditya Mahajan
A decentralized linear quadratic system with a major agent and a collection of minor agents is considered. The major agent affects the minor agents, but not vice versa. The state o…
Optimal local and remote controllers with unreliable uplink channels: An elementary proof
Mohammad Afshari, Aditya Mahajan
Recently, a model of a decentralized control system with local and remote controllers connected over unreliable channels was presented in [1]. The model has a non-classical informa…
Counterexamples on the monotonicity of delay optimal strategies for energy harvesting transmitters
Borna Sayedana, Aditya Mahajan
We consider cross-layer design of delay optimal transmission strategies for energy harvesting transmitters where the data and energy arrival processes are stochastic. Using Markov…
Multi-agent estimation and filtering for minimizing team mean-squared error
Mohammad Afshari, Aditya Mahajan
Motivated by estimation problems arising in autonomous vehicles and decentralized control of unmanned aerial vehicles, we consider multi-agent estimation and filtering problems in…