92 search results - page 11 / 19 » Acting Optimally in Partially Observable Stochastic Domains |
125
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GLOBECOM
2009
IEEE
14 years 9 months ago
2009
IEEE
Primary user emulation attack in multichannel cognitive radio systems is discussed. An attacker is assumed to be able to send primary-user-like signals during spectrum sensing peri...
110
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ICML
1996
IEEE
16 years 14 days ago
1996
IEEE
Some of the most successful recent applications of reinforcement learning have used neural networks and the TD algorithm to learn evaluation functions. In this paper, we examine t...
100
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NIPS
2008
15 years 1 months ago
2008
In partially observable worlds with many agents, nested beliefs are formed when agents simultaneously reason about the unknown state of the world and the beliefs of the other agen...
133
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AI
2011
Springer
14 years 3 months ago
2011
Springer
In this work, we explore how local interactions can simplify the process of decision-making in multiagent systems, particularly in multirobot problems. We review a recent decision-...
ECML
2007
Springer
15 years 5 months ago
2007
Springer
We present Policy Gradient Actor-Critic (PGAC), a new model-free Reinforcement Learning (RL) method for creating limited-memory stochastic policies for Partially Observable Markov ...