140 search results - page 8 / 28 » Structural Abstraction Experiments in Reinforcement Learning |
PRICAI
1999
Springer
15 years 3 months ago
1999
Springer
Abstract. In multi-agent reinforcement learning systems, it is important to share a reward among all agents. We focus on the Rationality Theorem of Profit Sharing [5] and analyze ...
ICANN
2010
Springer
15 years 20 days ago
2010
Springer
We propose a new approach for reinforcement learning in problems with continuous actions. Actions are sampled by means of a diffusion tree, which generates samples in the continuou...
CEC
2007
IEEE
15 years 3 months ago
2007
IEEE
Abstract-- In order to increase the transportation capability of elevator group systems in high-rise buildings without adding elevator installation space, double-deck elevator syst...
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NIPS
2008
15 years 1 months ago
2008
We use graphical models and structure learning to explore how people learn policies in sequential decision making tasks. Studies of sequential decision-making in humans frequently...
ATAL
2008
Springer
15 years 1 months ago
2008
Springer
The goal of Reinforcement learning (RL) is to maximize reward (minimize cost) in a Markov decision process (MDP) without knowing the underlying model a priori. RL algorithms tend ...