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» How to Dynamically Merge Markov Decision Processes
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AAAI
2012
13 years 1 days ago
Planning in Factored Action Spaces with Symbolic Dynamic Programming
We consider symbolic dynamic programming (SDP) for solving Markov Decision Processes (MDP) with factored state and action spaces, where both states and actions are described by se...
Aswin Raghavan, Saket Joshi, Alan Fern, Prasad Tad...
AAMAS
2011
Springer
14 years 4 months ago
Optimizing coalition formation for tasks with dynamically evolving rewards and nondeterministic action effects
We consider a problem domain where coalitions of agents are formed in order to execute tasks. Each task is assigned at most one coalition of agents, and the coalition can be reorg...
Majid Ali Khan, Damla Turgut, Ladislau Böl&ou...
NECO
2008
108views more  NECO 2008»
14 years 9 months ago
Optimization of Decision Making in Multilayer Networks: The Role of Locus Coeruleus
Previous theoretical work has shown that a single layer neural network can implement the optimal decision process for simple, two alternative forced choice (2AFC) tasks. However, ...
Eric Shea-Brown, Mark S. Gilzenrat, Jonathan D. Co...
ATAL
2008
Springer
14 years 11 months ago
Robust and efficient plan recognition for dynamic multi-agent teams
This paper addresses the problem of plan recognition for multiagent teams. Complex multi-agent tasks typically require dynamic teams where the team membership changes over time. T...
Gita Sukthankar, Katia P. Sycara
98
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CORR
2010
Springer
119views Education» more  CORR 2010»
14 years 7 months ago
On Probabilistic Parallel Programs with Process Creation and Synchronisation
We initiate the study of probabilistic parallel programs with dynamic process creation and synchronisation. To this end, we introduce probabilistic split-join systems (pSJSs), a mo...
Stefan Kiefer, Dominik Wojtczak