513 search results - page 42 / 103 » Metric learning for reinforcement learning agents |
AGENTS
1999
Springer
15 years 4 months ago
1999
Springer
In this paper, we present a novel multi-agent learning paradigm called team-partitioned, opaque-transition reinforcement learning (TPOT-RL). TPOT-RL introduces the concept of usin...
108
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ATAL
2009
Springer
15 years 7 months ago
2009
Springer
We consider the setting of multiple collaborative agents trying to complete a set of tasks as assigned by a centralized controller. We propose a scalable method called“Assignmen...
89
Voted
ICML
2008
IEEE
16 years 1 months ago
2008
IEEE
We consider the task of reinforcement learning in an environment in which rare significant events occur independently of the actions selected by the controlling agent. If these ev...
105
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ROBOCUP
2009
Springer
15 years 7 months ago
2009
Springer
As the reach of multiagent reinforcement learning extends to more and more complex tasks, it is likely that the diverse challenges posed by some of these tasks can only be address...
AAMAS
2005
Springer
15 years 6 months ago
2005
Springer
We report on an investigation of the learning of coordination in cooperative multi-agent systems. Specifically, we study solutions that are applicable to independent agents i.e. ...