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» Learning the required number of agents for complex tasks
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ATAL
2007
Springer
14 years 1 months ago
Batch reinforcement learning in a complex domain
Temporal difference reinforcement learning algorithms are perfectly suited to autonomous agents because they learn directly from an agent’s experience based on sequential actio...
Shivaram Kalyanakrishnan, Peter Stone
AAAI
2008
13 years 10 months ago
Perpetual Learning for Non-Cooperative Multiple Agents
This paper examines, by argument, the dynamics of sequences of behavioural choices made, when non-cooperative restricted-memory agents learn in partially observable stochastic gam...
Luke Dickens
AAAI
1997
13 years 9 months ago
Complex Goal Criteria and Its Application in Design-to-Criteria Scheduling
Difficult real-time AI problems require a means for expressing multi-dimensional and dynamic goal criteria and a principled model for satisficing to best meet the criteria. In the...
Thomas Wagner, Alan Garvey, Victor R. Lesser
ICSE
2012
IEEE-ACM
11 years 10 months ago
Engineering and verifying requirements for programmable self-assembling nanomachines
—We propose an extension of van Lamsweerde’s goal-oriented requirements engineering to the domain of programmable DNA nanotechnology. This is a domain in which individual devic...
Robyn R. Lutz, Jack H. Lutz, James I. Lathrop, Tit...
ACE
2003
180views Education» more  ACE 2003»
13 years 9 months ago
Managing the managers: Collaborative virtual teams with large staff and student numbers
Virtual teaming involving online presentations and peer reviews support the notion of collaborative student learning, whilst preparing them for the virtual work environment. Howev...
Kathy Egea