When intelligent systems reason about complex problems with a large hierarchical classification space it is hard to evaluate system performance. For classification problems, differ...
In this paper, we propose a policy gradient reinforcement learning algorithm to address transition-independent Dec-POMDPs. This approach aims at implicitly exploiting the locality...
Decentralized decision making under uncertainty has been shown to be intractable when each agent has different partial information about the domain. Thus, improving the applicabil...
Conflicts exist in multi-agent systems. Agents have different interests and desires. Agents also hold different beliefs and may make different assumptions. To resolve conflicts, ag...
Abstract. The revision and transformation of knowledge is widely recognized as a key issue in knowledge representation and reasoning. Reasons for the importance of this topic are t...
David Billington, Grigoris Antoniou, Guido Governa...