22 citations · 30 across the 2 of their papers we have counts for
3 papers
Influence-Augmented Local Simulators: A Scalable Solution for Fast Deep RL in Large Networked Systems
Miguel Suau, Jinke He, Matthijs T. J. Spaan +1
Learning effective policies for real-world problems is still an open challenge for the field of reinforcement learning (RL). The main limitation being the amount of data needed and…
Exploiting Submodular Value Functions For Scaling Up Active Perception
Yash Satsangi, Shimon Whiteson, Frans A. Oliehoek +1
In active perception tasks, an agent aims to select sensory actions that reduce its uncertainty about one or more hidden variables. While partially observable Markov decision proce…
Exploiting Structure in Cooperative Bayesian Games
Frans A. Oliehoek, Shimon Whiteson, Matthijs T. J. Spaan
Cooperative Bayesian games (BGs) can model decision-making problems for teams of agents under imperfect information, but require space and computation time that is exponential in t…