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GECCO
2010
Springer
153views Optimization» more  GECCO 2010»
15 years 3 months ago
Multi-task evolutionary shaping without pre-specified representations
Shaping functions can be used in multi-task reinforcement learning (RL) to incorporate knowledge from previously experienced tasks to speed up learning on a new task. So far, rese...
Matthijs Snel, Shimon Whiteson
AAAI
2008
15 years 2 months ago
An Integrated Reasoning Approach to Moral Decision-Making
We present a computational model, MoralDM, which integrates several AI techniques in order to model recent psychological findings on moral decision-making. Current theories of mor...
Morteza Dehghani, Emmett Tomai, Kenneth D. Forbus,...
AAAI
2008
15 years 2 months ago
Markov Blanket Feature Selection for Support Vector Machines
Based on Information Theory, optimal feature selection should be carried out by searching Markov blankets. In this paper, we formally analyze the current Markov blanket discovery ...
Jianqiang Shen, Lida Li, Weng-Keen Wong
ASPDAC
2008
ACM
93views Hardware» more  ASPDAC 2008»
15 years 1 months ago
Scheduling with integer time budgeting for low-power optimization
In this paper we present a mathematical programming formulation of the integer time budgeting problem for directed acyclic graphs. In particular, we formally prove that our constr...
Wei Jiang, Zhiru Zhang, Miodrag Potkonjak, Jason C...
ATAL
2008
Springer
15 years 1 months ago
Switching dynamics of multi-agent learning
This paper presents the dynamics of multi-agent reinforcement learning in multiple state problems. We extend previous work that formally modelled the relation between reinforcemen...
Peter Vrancx, Karl Tuyls, Ronald L. Westra