Sciweavers

949 search results - page 8 / 190
» Can Doxastic Agents Learn
Sort
View
TSMC
2002
136views more  TSMC 2002»
13 years 7 months ago
Expertness based cooperative Q-learning
By using other agents' experiences and knowledge, a learning agent may learn faster, make fewer mistakes, and create some rules for unseen situations. These benefits would be ...
Majid Nili Ahmadabadi, Masoud Asadpour
ATAL
2008
Springer
13 years 9 months ago
Using adaptive consultation of experts to improve convergence rates in multiagent learning
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...
Greg Hines, Kate Larson
ICMAS
1998
13 years 8 months ago
The Moving Target Function Problem in Multi-Agent Learning
We describe a framework that can be used to model and predict the behavior of MASs with learning agents. It uses a difference equation for calculating the progression of an agent&...
José M. Vidal, Edmund H. Durfee
IVA
2001
Springer
13 years 12 months ago
Intelligent Virtual Agents for Education and Training: Opportunities and Challenges
Abstract. Interactive virtual worlds provide a powerful medium for experiential learning. Intelligent virtual agents can cohabit virtual worlds with people and facilitate such lear...
Jeff Rickel
ICML
2010
IEEE
13 years 8 months ago
Internal Rewards Mitigate Agent Boundedness
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...
Jonathan Sorg, Satinder P. Singh, Richard Lewis