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ECAI
2006
Springer
15 years 10 months ago
Modal Logics for Communicating Rule-Based Agents
In this paper, we show how to establish correctness and time bounds (e.g., quality of service guarantees) for multi-agent systems composed of communicating rule-based agents. The f...
Natasha Alechina, Mark Jago, Brian Logan
ECAI
2008
Springer
15 years 8 months ago
Exploiting locality of interactions using a policy-gradient approach in multiagent learning
In this paper, we propose a policy gradient reinforcement learning algorithm to address transition-independent Dec-POMDPs. This approach aims at implicitly exploiting the locality...
Francisco S. Melo
IGPL
2010
111views more  IGPL 2010»
15 years 4 months ago
A logic of trust and reputation
Reputation and trust are useful instruments in multi-agent systems to evaluate agent behaviour. Most of the works on trust and reputation adopt a quantitative representation of the...
Andreas Herzig, Emiliano Lorini, Jomi Fred Hü...
PAMI
2010
188views more  PAMI 2010»
15 years 4 months ago
Spatial-Temporal Fusion for High Accuracy Depth Maps Using Dynamic MRFs
— Time-of-flight range sensors and passive stereo have complimentary characteristics in nature. To fuse them to get high accuracy depth maps varying over time, we extend traditi...
Jiejie Zhu, Liang Wang 0002, Jizhou Gao, Ruigang Y...
JMLR
2010
139views more  JMLR 2010»
15 years 1 months ago
Tempered Markov Chain Monte Carlo for training of Restricted Boltzmann Machines
Alternating Gibbs sampling is the most common scheme used for sampling from Restricted Boltzmann Machines (RBM), a crucial component in deep architectures such as Deep Belief Netw...
Guillaume Desjardins, Aaron C. Courville, Yoshua B...