168 search results - page 18 / 34 » Optimism in Reinforcement Learning Based on Kullback-Leibler... |
149
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ICML
2003
IEEE
16 years 6 months ago
2003
IEEE
An important issue in reinforcement learning is how to incorporate expert knowledge in a principled manner, especially as we scale up to real-world tasks. In this paper, we presen...
150
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CORR
2007
Springer
15 years 6 months ago
2007
Springer
—We consider an agent interacting with an unmodeled environment. At each time, the agent makes an observation, takes an action, and incurs a cost. Its actions can influence futu...
163
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NIPS
1998
15 years 7 months ago
1998
In this paper, we consider Markov Decision Processes (MDPs) with error states. Error states are those states entering which is undesirable or dangerous. We define the risk with re...
208
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ICML
1995
IEEE
16 years 6 months ago
1995
IEEE
In this paper we introduce Ant-Q, a family of algorithms which present many similarities with Q-learning (Watkins, 1989), and which we apply to the solution of symmetric and asymm...
147
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AAMAS
2005
Springer
15 years 11 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. ...