This paper describes an algorithm, called CQ-learning, which learns to adapt the state representation for multi-agent systems in order to coordinate with other agents. We propose ...
Abstract— This paper explores the problem of efficiently ordering interprocessor communication operations in both statically and dynamically-scheduled multiprocessors for iterat...
Techniques that were developed for program synthesis are being applied to allow multiple agents to communicate with each other and cooperate to solve a single problem. We illustrat...
Richard J. Waldinger, Peter Jarvis, Jennifer L. Du...
We present a data-driven approach to learn user-adaptive referring expression generation (REG) policies for spoken dialogue systems. Referring expressions can be difficult to unde...
This paper discusses the application of distributed constraint optimization to coordination in disaster management situations under sub-optimal network conditions. It presents an ...
Robert N. Lass, Joseph B. Kopena, Evan Sultanik, D...