4817 search results - page 149 / 964 » Learning Models of Intelligent Agents |
118
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AAAI
2011
14 years 21 days ago
2011
A general game player automatically learns to play arbitrary new games solely by being told their rules. For this purpose games are specified in the game description language GDL...
91
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AAAI
2008
15 years 3 months ago
2008
Off-policy reinforcement learning is aimed at efficiently reusing data samples gathered in the past, which is an essential problem for physically grounded AI as experiments are us...
101
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AAMAS
2007
Springer
15 years 25 days ago
2007
Springer
An original Reinforcement Learning (RL) methodology is proposed for the design of multi-agent systems. In the realistic setting of situated agents with local perception, the task o...
149
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ATAL
2011
Springer
14 years 20 days ago
2011
Springer
A key component of any reinforcement learning algorithm is the underlying representation used by the agent. While reinforcement learning (RL) agents have typically relied on hand-...
AUSAI
2005
Springer
15 years 6 months ago
2005
Springer
The key problem in applying verification techniques such as model checking to agent architectures is to show how to map systematically from an agent program to a model structure t...