In spite of the large literature on reinforcement learning (RL) algorith...
Decentralized cooperative multi-agent deep reinforcement learning (MARL)...
Reinforcementlearning(RL)folkloresuggeststhathistory-basedfunctionapprox...
Reinforcement learning is an attractive approach to learn good resource
...
In this paper, we investigate the problem of system identification for
a...
In this paper, we consider the problem of allocating human operators in ...
Multi-agent reinfocement learning (MARL) is often modeled using the fram...
We revisit the Thompson sampling algorithm to control an unknown linear
...
We consider the problem of controlling an unknown linear quadratic Gauss...
Mobile Edge Computing (MEC) refers to the concept of placing computation...
We consider optimal control of an unknown multi-agent linear quadratic (...
We propose a theoretical framework for approximate planning and learning...
We consider a decentralized linear quadratic system with a major agent a...
We consider cross-layer design of delay optimal transmission strategies ...
We investigate a remote estimation problem in which a transmitter observ...
In this paper, we present an online reinforcement learning algorithm, ca...
This paper proposes the creation of different interfaces in the mobile
o...