4403 search results - page 708 / 881 » Galois Theory of Algorithms |
208
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ATAL
2008
Springer
15 years 9 months ago
2008
Springer
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...
193
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ATAL
2008
Springer
15 years 9 months ago
2008
Springer
In this paper we propose interaction-driven Markov games (IDMGs), a new model for multiagent decision making under uncertainty. IDMGs aim at describing multiagent decision problem...
177
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ATAL
2008
Springer
15 years 9 months ago
2008
Springer
Recent advances in technology allow multi-agent systems to be deployed in cooperation with or as a service for humans. Typically, those systems are designed assuming individually ...
178
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ATAL
2008
Springer
15 years 9 months ago
2008
Springer
As the ability to produce a large number of small, simple robotic agents improves, it becomes essential to control the behavior of these agents in such a way that the sum of their...
192
click to vote
ATAL
2008
Springer
15 years 9 months ago
2008
Springer
Reward shaping is a well-known technique applied to help reinforcement-learning agents converge more quickly to nearoptimal behavior. In this paper, we introduce social reward sha...