949 search results - page 29 / 190 » Can Doxastic Agents Learn |
AAAI
2004
13 years 11 months ago
2004
This paper presents a multimodal learning system that can ground spoken names of objects in their physical referents and learn to recognize those objects simultaneously from natur...
AGI
2011
13 years 1 months ago
2011
We present an actor-critic scheme for reinforcement learning in complex domains. The main contribution is to show that planning and I/O dynamics can be separated such that an intra...
ATAL
2006
Springer
13 years 11 months ago
2006
Springer
In concurrent cooperative multiagent learning, each agent simultaneously learns to improve the overall performance of the team, with no direct control over the actions chosen by i...
AI
2001
Springer
14 years 2 months ago
2001
Springer
Reinforcement learning techniques are increasingly being used to solve di cult problems in control and combinatorial optimization with promising results. Implicit imitation can acc...
AI
2006
Springer
14 years 1 months ago
2006
Springer
So far, most equilibrium concepts in game theory require that the rewards and actions of the other agents are known and/or observed by all agents. However, in real life problems, a...