Reinforcement learning algorithms that use eligibility traces, such as Sarsa(λ), have been empirically shown to be effective in learning good estimated-state-based policies in pa...
In context-aware route planning, a set of agents has to plan routes on a common infrastructure and each agent has to plan a conflict-free route from a source to a destination wit...
Adriaan ter Mors, Jeroen van Belle, Cees Witteveen
Distributed constraint optimization (DCOP) provides a framework for coordinated decision making by a team of agents. Often, during the decision making, capacity constraints on age...
Distributed Lagrangian Relaxation Protocol (DisLRP) has been proposed to solve a distributed combinatorial maximization problem called the Generalized Mutual Assignment Problem (G...
In this paper, we describe an ontologically well-founded agentbased discrete event simulation framework with a high-level rulemulation language and an abstract simulator architect...
We introduce an adversarial planning algorithm based on game tree search, which is applicable in large-scale multiplayer domains. In order to tackle the scalability issues of game...