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NIPS
1996
15 years 8 months ago
Reinforcement Learning for Mixed Open-loop and Closed-loop Control
Closed-loop control relies on sensory feedback that is usually assumed to be free. But if sensing incurs a cost, it may be coste ective to take sequences of actions in open-loop m...
Eric A. Hansen, Andrew G. Barto, Shlomo Zilberstei...
ADVCS
2007
108views more  ADVCS 2007»
15 years 7 months ago
Open Synchronous Cellular Learning Automata
Cellular learning automata is a combination of learning automata and cellular automata. This model is superior to cellular learning automata because of its ability to learn and als...
Hamid Beigy, Mohammad Reza Meybodi
AAMAS
2000
Springer
15 years 6 months ago
Algorithms for Distributed Constraint Satisfaction: A Review
When multiple agents are in a shared environment, there usually exist constraints among the possible actions of these agents. A distributed constraint satisfaction problem (distrib...
Makoto Yokoo, Katsutoshi Hirayama
AI
1999
Springer
15 years 6 months ago
Cooperative Behavior Acquisition for Mobile Robots in Dynamically Changing Real Worlds Via Vision-Based Reinforcement Learning a
In this paper, we first discuss the meaning of physical embodiment and the complexity of the environment in the context of multi-agent learning. We then propose a vision-based rei...
Minoru Asada, Eiji Uchibe, Koh Hosoda
IFM
2010
Springer
142views Formal Methods» more  IFM 2010»
15 years 5 months ago
An Event-B Approach to Data Sharing Agreements
A Data Sharing Agreement (DSA) is a contract among two or more principals regulating how they share data. Agreements are usually represented as a set of clauses expressed using the...
Alvaro E. Arenas, Benjamin Aziz, Juan Bicarregui, ...