288 search results - page 41 / 58 » Risk-averse dynamic programming for Markov decision processe... |
NIPS
2003
15 years 2 months ago
2003
Online mechanism design (MD) considers the problem of providing incentives to implement desired system-wide outcomes in systems with self-interested agents that arrive and depart ...
123
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IJCAI
2007
15 years 2 months ago
2007
Inverse Reinforcement Learning (IRL) is the problem of learning the reward function underlying a Markov Decision Process given the dynamics of the system and the behaviour of an e...
139
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GECCO
2009
Springer
14 years 11 months ago
2009
Springer
The covariance matrix adaptation evolution strategy (CMAES) has proven to be a powerful method for reinforcement learning (RL). Recently, the CMA-ES has been augmented with an ada...
112
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JSAC
2010
14 years 11 months ago
2010
Abstract—In this paper, we study how to optimize the transmission decisions of nodes aimed at supporting mission-critical applications, such as surveillance, security monitoring,...
123
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IEEEPACT
2000
IEEE
15 years 5 months ago
2000
IEEE
Dynamic Optimization is an umbrella term that refers to any optimization of software that is performed after the initial compile time. It is a complementary optimization opportuni...