In this paper, we investigate the use of hierarchical reinforcement learning (HRL) to speed up the acquisition of cooperative multi-agent tasks. We introduce a hierarchical multi-a...
Rajbala Makar, Sridhar Mahadevan, Mohammad Ghavamz...
Cooperative behavior is a desired trait in many fields from computer games to robotics. Yet, achieving cooperative behavior is often difficult, as maintaining shared information a...
Abstract— This paper presents a decentralized negotiation protocol for cooperative economic scheduling in a supply chain environment. For this purpose we designed autonomous agen...
This paper extends earlier work in the use of ‘Agent-based Computational Economics’ (ACE) for modelling the development of co-operation between firms. Inter-firm relations hav...
Abstract--Cooperating mobile sensors can be used to model environmental functions such as the temperature or salinity of a region of ocean. In this paper, we adopt an optimal filte...
Kevin M. Lynch, Ira B. Schwartz, Peng Yang, Randy ...