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AAAI
2007
15 years 8 months ago
Purely Epistemic Markov Decision Processes
Planning under uncertainty involves two distinct sources of uncertainty: uncertainty about the effects of actions and uncertainty about the current state of the world. The most wi...
Régis Sabbadin, Jérôme Lang, N...
ICML
2006
IEEE
16 years 7 months ago
Learning hierarchical task networks by observation
Knowledge-based planning methods offer benefits over classical techniques, but they are time consuming and costly to construct. There has been research on learning plan knowledge ...
Negin Nejati, Pat Langley, Tolga Könik
IAT
2009
IEEE
16 years 28 days ago
Myopic and Non-myopic Communication under Partial Observability
—In decentralized settings with partial observability, agents can often benefit from communicating, but communication resources may be limited and costly. Current approaches ten...
Alan Carlin, Shlomo Zilberstein
EPEW
2007
Springer
16 years 11 days ago
Towards an Automatic Modeling Tool for Observed System Behavior
Current computer systems and communication networks tend to be highly complex, and they typically hide their internal structure from their users. Thus, for selected aspects of capa...
Thomas Begin, Alexandre Brandwajn, Bruno Baynat, B...
GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
16 years 10 days ago
Observing the swarm behaviour during its evolutionary design
Evolutionary Algorithms (EAs) can be used for designing Particle Swarm Optimization (PSO) algorithms that work, in some cases, considerably better than the human-designed ones. By...
Laura Diosan, Mihai Oltean