4446 search results - page 96 / 890 » Learning Observer Agents |
137
Voted
ATAL
2008
Springer
15 years 5 months ago
2008
Springer
In this paper we study the use of experts algorithms in a multiagent setting. In this paper we allow agents to use multiple experts and explore different experts algorithms that a...
80
Voted
ICML
2010
IEEE
15 years 4 months ago
2010
IEEE
Abstract--Reinforcement learning (RL) research typically develops algorithms for helping an RL agent best achieve its goals-however they came to be defined--while ignoring the rela...
146
Voted
ATAL
2007
Springer
15 years 9 months ago
2007
Springer
Activity recognition is a key component for creating intelligent, multi-agent systems. Intrinsically, activity recognition is a temporal classification problem. In this paper, we...
130
Voted
AAAI
2006
15 years 4 months ago
2006
Both explanation-based and inductive learning techniques have proven successful in a variety of distributed domains. However, learning in multi-agent systems does not necessarily ...
103
Voted
HOLOMAS
2005
Springer
15 years 9 months ago
2005
Springer
Information-based agency is founded on two observations: everything in an agent’s world model is uncertain, and everything that an agent communicates gives away valuable informa...