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AGI
2011
13 years 10 days ago
Comparing Humans and AI Agents
Comparing humans and machines is one important source of information about both machine and human strengths and limitations. Most of these comparisons and competitions are performe...
Javier Insa-Cabrera, David L. Dowe, Sergio Espa&nt...
CEC
2010
IEEE
13 years 9 months ago
Coevolutionary Temporal Difference Learning for small-board Go
—In this paper we apply Coevolutionary Temporal Difference Learning (CTDL), a hybrid of coevolutionary search and reinforcement learning proposed in our former study, to evolve s...
Krzysztof Krawiec, Marcin Szubert
MOBICOM
2009
ACM
14 years 3 months ago
Revenue maximization and distributed power allocation in cognitive radio networks
Cognitive radio is an enabling technology that allows unlicensed users to opportunistically access the spectrum in order to enhance the spectrum efficiency. In this paper, we cons...
Shaolei Ren, Mihaela van der Schaar
ATAL
2007
Springer
14 years 2 months ago
Multiagent learning in adaptive dynamic systems
Classically, an approach to the multiagent policy learning supposed that the agents, via interactions and/or by using preliminary knowledge about the reward functions of all playe...
Andriy Burkov, Brahim Chaib-draa
AI
2008
Springer
13 years 8 months ago
Alternating-offers bargaining with one-sided uncertain deadlines: an efficient algorithm
In the arena of automated negotiations we focus on the principal negotiation protocol in bilateral settings, i.e. the alternatingoffers protocol. In the scientific community it is...
Nicola Gatti, Francesco Di Giunta, Stefano Marino