83 search results - page 8 / 17 » Planning and Acting in Partially Observable Stochastic Domai... |
NIPS
2004
14 years 10 months ago
2004
Agents learning to act in a partially observable domain may need to overcome the problem of perceptual aliasing
AIPS
2006
14 years 10 months ago
2006
Planning for partially observable, nondeterministic domains is a very signi cant and computationally hard problem. Often, reasonable assumptions can be drawn over expected/nominal...
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AI
2011
Springer
14 years 1 months ago
2011
Springer
In this work, we explore how local interactions can simplify the process of decision-making in multiagent systems, particularly in multirobot problems. We review a recent decision-...
NIPS
2003
14 years 10 months ago
2003
A mobile robot acting in the world is faced with a large amount of sensory data and uncertainty in its action outcomes. Indeed, almost all interesting sequential decision-making d...
PKDD
2009
Springer
15 years 3 months ago
2009
Springer
Probabilistic relational models are an efficient way to learn and represent the dynamics in realistic environments consisting of many objects. Autonomous intelligent agents that gr...