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CIIA
2009
13 years 8 months ago
Dynamic Scheduling in Petroleum Process using Reinforcement Learning
Petroleum industry production systems are highly automatized. In this industry, all functions (e.g., planning, scheduling and maintenance) are automated and in order to remain comp...
Nassima Aissani, Bouziane Beldjilali
ROBOCUP
2007
Springer
153views Robotics» more  ROBOCUP 2007»
14 years 1 months ago
Model-Based Reinforcement Learning in a Complex Domain
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
Shivaram Kalyanakrishnan, Peter Stone, Yaxin Liu
WISE
2005
Springer
14 years 1 months ago
Towards the Automation of E-Negotiation Processes Based on Web Services - A Modeling Approach
Abstract. E-Negotiation is the process of conducting negotiations between business partners using electronic means. The interest in e-negotiation is motivated by its potential to p...
Stefanie Rinderle, Morad Benyoucef
ATAL
2005
Springer
14 years 1 months ago
Designing multiparty interaction support in Elva, an embodied tour guide
Although social research into group interaction has flourished since the 20th century, the technology of embodied conversational agents for handling multiparty interaction is stil...
Jun Zheng, Xiang Yuan, Yam San Chee
ATAL
2004
Springer
14 years 28 days ago
Decentralized Markov Decision Processes with Event-Driven Interactions
Decentralized MDPs provide a powerful formal framework for planning in multi-agent systems, but the complexity of the model limits its usefulness. We study in this paper a class o...
Raphen Becker, Shlomo Zilberstein, Victor R. Lesse...