In this paper we present an approach to the cooperative transport of multiple objects in swarm robotics. The approach is motivated by the observation that the performance of cooper...
In open multi-agent systems (MASs) we cannot assume agents to be developed in a centralized fashion. Recent proposals of commitmentbased communication frameworks aim at increasing ...
While stochastic local search (SLS) techniques are very efficient in solving hard randomly generated propositional satisfiability (SAT) problem instances, a major challenge is to i...
This paper introduces a principled approach for the design of a scalable general reinforcement learning agent. This approach is based on a direct approximation of AIXI, a Bayesian...
Joel Veness, Kee Siong Ng, Marcus Hutter, David Si...
This study develops a joint optimal inventory strategy for both the buyer and the vendor when the expired stocks have salvage value, and are subject to constant rate of deteriorat...