Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Arabneydi, Jalal"'
Autor:
Islam, Md Saiful, Das, Srijita, Gottipati, Sai Krishna, Duguay, William, Mars, Clodéric, Arabneydi, Jalal, Fagette, Antoine, Guzdial, Matthew, Matthew-E-Taylor
Recent advances in reinforcement learning (RL) and Human-in-the-Loop (HitL) learning have made human-AI collaboration easier for humans to team with AI agents. Leveraging human expertise and experience with AI in intelligent systems can be efficient
Externí odkaz:
http://arxiv.org/abs/2312.15160
Autor:
Arabneydi, Jalal, Aghdam, Amir G.
In this article, we introduce decentralized Kalman filters for linear quadratic deep structured teams. The agents in deep structured teams are coupled in dynamics, costs and measurements through a set of linear regressions of the states and actions (
Externí odkaz:
http://arxiv.org/abs/2110.12217
Autor:
Arabneydi, Jalal, Aghdam, Amir G.
In this paper, a deep structured tracking problem is introduced for a large number of decision-makers. The problem is formulated as a linear quadratic deep structured team, where the decision-makers wish to track a global target cooperatively while c
Externí odkaz:
http://arxiv.org/abs/2110.10554
This paper investigates a soft-constrained MinMax control problem of a leader-follower network. The network consists of one leader and an arbitrary number of followers that wish to reach consensus with minimum energy consumption in the presence of ex
Externí odkaz:
http://arxiv.org/abs/2012.02838
Autor:
Arabneydi, Jalal, Mahajan, Aditya
In this paper, we investigate team optimal control of coupled major-minor subsystems with mean-field sharing. In such a model, there is one major subsystem that directly influences the dynamics of $n$ homogeneous minor subsystems; however, the minor
Externí odkaz:
http://arxiv.org/abs/2012.02401
Autor:
Arabneydi, Jalal, Mahajan, Aditya
A decentralized control system with linear dynamics, quadratic cost, and Gaussian disturbances is considered. The system consists of a finite number of subsystems whose dynamics and per-step cost function are coupled through their mean-field (empiric
Externí odkaz:
http://arxiv.org/abs/2012.02052
Autor:
Arabneydi, Jalal, Mahajan, Aditya
In this paper, we are interested in systems with multiple agents that wish to collaborate in order to accomplish a common task while a) agents have different information (decentralized information) and b) agents do not know the model of the system co
Externí odkaz:
http://arxiv.org/abs/2012.02051
Autor:
Arabneydi, Jalal, Mahajan, Aditya
We investigate team optimal control of stochastic subsystems that are weakly coupled in dynamics (through the mean-field of the system) and are arbitrary coupled in the cost. The controller of each subsystem observes its local state and the mean-fiel
Externí odkaz:
http://arxiv.org/abs/2012.01418
Autor:
Arabneydi, Jalal, Aghdam, Amir G.
Motivated by demand-side management in smart grids, a decentralized controlled Markov chain formulation is proposed to model a homogeneous population of users with binary demands (i.e., off or on). The binary demands often arise in scheduling applica
Externí odkaz:
http://arxiv.org/abs/2012.01013
Autor:
Arabneydi, Jalal, Aghdam, Amir G.
This paper studies a large number of homogeneous Markov decision processes where the transition probabilities and costs are coupled in the empirical distribution of states (also called mean-field). The state of each process is not known to others, wh
Externí odkaz:
http://arxiv.org/abs/2012.01020