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ICRA
2010
IEEE
101views Robotics» more  ICRA 2010»
14 years 8 months ago
Multirobot coordination by auctioning POMDPs
— We consider the problem of task assignment and execution in multirobot systems, by proposing a procedure for bid estimation in auction protocols. Auctions are of interest to mu...
Matthijs T. J. Spaan, Nelson Gonçalves, Jo&...
AAAI
2012
13 years 1 days ago
Kernel-Based Reinforcement Learning on Representative States
Markov decision processes (MDPs) are an established framework for solving sequential decision-making problems under uncertainty. In this work, we propose a new method for batchmod...
Branislav Kveton, Georgios Theocharous
ECML
2006
Springer
14 years 11 months ago
Reinforcement Learning for MDPs with Constraints
In this article, I will consider Markov Decision Processes with two criteria, each defined as the expected value of an infinite horizon cumulative return. The second criterion is e...
Peter Geibel
CORR
2012
Springer
193views Education» more  CORR 2012»
13 years 5 months ago
A Unifying Framework for Linearly Solvable Control
Recent work has led to the development of an elegant theory of Linearly Solvable Markov Decision Processes (LMDPs) and related Path-Integral Control Problems. Traditionally, LMDPs...
Krishnamurthy Dvijotham, Emanuel Todorov
86
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JAIR
2008
145views more  JAIR 2008»
14 years 9 months ago
Communication-Based Decomposition Mechanisms for Decentralized MDPs
Multi-agent planning in stochastic environments can be framed formally as a decentralized Markov decision problem. Many real-life distributed problems that arise in manufacturing,...
Claudia V. Goldman, Shlomo Zilberstein