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NIPS
2000
15 years 2 months ago
Using Free Energies to Represent Q-values in a Multiagent Reinforcement Learning Task
The problem of reinforcement learning in large factored Markov decision processes is explored. The Q-value of a state-action pair is approximated by the free energy of a product o...
Brian Sallans, Geoffrey E. Hinton
113
Voted
WOA
2007
15 years 1 months ago
A Swarm Intelligence Method Applied to Manufacturing Scheduling
—In this paper we present a multi-agent search technique to face the NP-hard single machine total weighted tardiness scheduling problem in presence of sequence-dependent setup ti...
Davide Anghinolfi, Antonio Boccalatte, Alberto Gro...
109
Voted
ICRA
2010
IEEE
148views Robotics» more  ICRA 2010»
14 years 11 months ago
Body schema acquisition through active learning
— We present an active learning algorithm for the problem of body schema learning, i.e. estimating a kinematic model of a serial robot. The learning process is done online using ...
Ruben Martinez-Cantin, Manuel Lopes, Luis Montesan...
89
Voted
AAAI
2012
13 years 3 months ago
Evaluating Resistance to False-Name Manipulations in Elections
In many mechanisms (especially online mechanisms), a strategic agent can influence the outcome by creating multiple false identities. We consider voting settings where the mechan...
Bo Waggoner, Lirong Xia, Vincent Conitzer
97
Voted
JCP
2008
126views more  JCP 2008»
15 years 23 days ago
Hardware/Software Co-design Approach for an ADALINE Based Adaptive Control System
Abstract--In this paper, we report some results on hardware and software co-design of an adaptive linear neuron (ADALINE) based control system. A discrete-time Proportional-Integra...
Shouling He, Xuping Xu