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» Instance-Based Action Models for Fast Action Planning
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125
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ICML
2008
IEEE
16 years 5 months ago
Reinforcement learning with limited reinforcement: using Bayes risk for active learning in POMDPs
Partially Observable Markov Decision Processes (POMDPs) have succeeded in planning domains that require balancing actions that increase an agent's knowledge and actions that ...
Finale Doshi, Joelle Pineau, Nicholas Roy
156
Voted
PKDD
2009
Springer
102views Data Mining» more  PKDD 2009»
15 years 11 months ago
Relevance Grounding for Planning in Relational Domains
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...
Tobias Lang, Marc Toussaint
AIPS
2008
15 years 7 months ago
Multiagent Planning Under Uncertainty with Stochastic Communication Delays
We consider the problem of cooperative multiagent planning under uncertainty, formalized as a decentralized partially observable Markov decision process (Dec-POMDP). Unfortunately...
Matthijs T. J. Spaan, Frans A. Oliehoek, Nikos A. ...
172
Voted
IUI
1997
ACM
15 years 9 months ago
Integrating Planning and Task-Based Design for Multimedia Presentation
We claim that automatic multimedia presentation can be modeled by integrating two complementary approaches to automatic design: hierarchical planning to achieve communicative goal...
Stephan M. Kerpedjiev, Giuseppe Carenini, Steven F...
CSFW
2007
IEEE
15 years 11 months ago
Collaborative Planning With Privacy
Collaboration among organizations or individuals is common. While these participants are often unwilling to share all their information with each other, some information sharing i...
Max I. Kanovich, Paul Rowe, Andre Scedrov