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CIA
2007
Springer
15 years 4 months ago
Learning Initial Trust Among Interacting Agents
Trust learning is a crucial aspect of information exchange, negotiation, and any other kind of social interaction among autonomous agents in open systems. But most current probabil...
Achim Rettinger, Matthias Nickles, Volker Tresp
ROBOCUP
2009
Springer
134views Robotics» more  ROBOCUP 2009»
15 years 4 months ago
Learning Complementary Multiagent Behaviors: A Case Study
As the reach of multiagent reinforcement learning extends to more and more complex tasks, it is likely that the diverse challenges posed by some of these tasks can only be address...
Shivaram Kalyanakrishnan, Peter Stone
ICCBSS
2004
Springer
15 years 3 months ago
COTS-Based Systems - Twelve Lessons Learned about Maintenance
This paper presents the twelve most significant lessons the CeBASE community has learned across a wide variety of projects, domains, and organizations about COTS-Based Systems (CBS...
Donald J. Reifer, Victor R. Basili, Barry W. Boehm...
AI
2006
Springer
15 years 1 months ago
Trace Equivalence Characterization Through Reinforcement Learning
In the context of probabilistic verification, we provide a new notion of trace-equivalence divergence between pairs of Labelled Markov processes. This divergence corresponds to the...
Josee Desharnais, François Laviolette, Kris...
DAGSTUHL
2003
14 years 11 months ago
Maximizing Learning Progress: An Internal Reward System for Development
This chapter presents a generic internal reward system that drives an agent to increase the complexity of its behavior. This reward system does not reinforce a predefined task. It...
Frédéric Kaplan, Pierre-Yves Oudeyer