949 search results - page 39 / 190 » Can Doxastic Agents Learn |
78
Voted
AAAI
2008
15 years 3 months ago
2008
This work addresses the problem of efficiently learning action schemas using a bounded number of samples (interactions with the environment). We consider schemas in two languages-...
95
Voted
ICML
2006
IEEE
16 years 1 months ago
2006
IEEE
We introduce the use of learned shaping rewards in reinforcement learning tasks, where an agent uses prior experience on a sequence of tasks to learn a portable predictor that est...
118
Voted
IJCAI
2007
15 years 2 months ago
2007
The options framework provides a method for reinforcement learning agents to build new high-level skills. However, since options are usually learned in the same state space as the...
ATAL
2008
Springer
15 years 2 months ago
2008
Springer
Recent work in transfer learning has succeeded in making reinforcement learning algorithms more efficient by incorporating knowledge from previous tasks. However, such methods typ...
84
Voted
AI
2004
Springer
15 years 6 months ago
2004
Springer
Abstract. Choosing between multiple alternative tasks is a hard problem for agents evolving in an uncertain real-time multiagent environment. An example of such environment is the ...