513 search results - page 94 / 103 » Metric learning for reinforcement learning agents |
87
Voted
JAIR
2011
14 years 7 months ago
2011
This paper describes a computationally feasible approximation to the AIXI agent, a universal reinforcement learning agent for arbitrary environments. AIXI is scaled down in two ke...
119
Voted
ATAL
2006
Springer
15 years 4 months ago
2006
Springer
Learning to converge to an efficient, i.e., Pareto-optimal Nash equilibrium of the repeated game is an open problem in multiagent learning. Our goal is to facilitate the learning ...
97
Voted
ATAL
2008
Springer
15 years 2 months ago
2008
Springer
The application of reinforcement learning algorithms to Partially Observable Stochastic Games (POSG) is challenging since each agent does not have access to the whole state inform...
96
Voted
FLAIRS
2004
15 years 1 months ago
2004
In E-learning systems, where both helpers (tutors) and learners are separated geographically, finding a reliable helper is one of the most important challenges. Although helpers c...
97
Voted
ATAL
2003
Springer
15 years 5 months ago
2003
Springer
A collective of agents often needs to maximize a “world utility” function which rates the performance of an entire system, while subject to communication restrictions among th...