Uncertain and complex environments demand that an agent be able to anticipate the actions of others in order to avoid resource conflicts with them and to realize its goals. Confli...
Multi-agent system(MAS) is a blooming research area, which exhibits a new paradigm for the design, modelling and implementation of complex systems. A significant amount of effort...
Mengqiu Wang, Mariusz Nowostawski, Martin K. Purvi...
An important problem faced by auditors is gauging how much reliance can be placed on the accounting systems that process millions of transactions to produce the numbers summarized...
Robert Nado, Melanie Chams, Jeff Delisio, Walter H...
Hierarchical reinforcement learning has been proposed as a solution to the problem of scaling up reinforcement learning. The RLTOPs Hierarchical Reinforcement Learning System is an...
We present an integrated approach for reasoning about and learning conversation patterns in multiagent communication. The approach is based on the assumption that information abou...
Michael Rovatsos, Felix A. Fischer, Gerhard Wei&sz...