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ICML
1994
IEEE
14 years 1 months ago
Markov Games as a Framework for Multi-Agent Reinforcement Learning
In the Markov decision process (MDP) formalization of reinforcement learning, a single adaptive agent interacts with an environment defined by a probabilistic transition function....
Michael L. Littman
ESSMAC
2003
Springer
14 years 3 months ago
Simultaneous Localization and Surveying with Multiple Agents
We apply a constrained Hidden Markov Model architecture to the problem of simultaneous localization and surveying from sensor logs of mobile agents navigating in unknown environmen...
Sam T. Roweis, Ruslan Salakhutdinov
KES
2000
Springer
14 years 1 months ago
Speech-based conversation environment for dynamic knowledge interaction
We propose a speech-based conversation environment called Voice Cafe for facilitating dynamic knowledge interaction. Dynamic knowledge interaction is a key concept for creative in...
T. Fukuhara, T. Nishida
ATAL
2008
Springer
14 years 9 hour ago
Dancing the night away: controlling a virtual karaoke dancer by multimodal expressive cues
In this article, we propose an approach of nonverbal interaction with virtual agents to control agents' behavioral expressivity by extracting and combining acoustic and gestu...
Matthias Rehm, Thurid Vogt, Michael Wissner, Nikol...
SOFSEM
2009
Springer
14 years 6 months ago
Epistemic Strategies and Games on Concurrent Processes
We develop a game semantics for process algebra with two interacting agents. The purpose of our semantics is to make manifest the role of knowledge and information flow in the int...
Konstantinos Chatzikokolakis, Sophia Knight, Praka...