4817 search results - page 149 / 964 » Learning Models of Intelligent Agents |
AAAI
2011
12 years 10 months 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...
AAAI
2008
14 years 20 days 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...
AAMAS
2007
Springer
13 years 10 months 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...
ATAL
2011
Springer
12 years 10 months 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
14 years 3 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...