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IJCAI
2007
13 years 11 months ago
Utile Distinctions for Relational Reinforcement Learning
We introduce an approach to autonomously creating state space abstractions for an online reinforcement learning agent using a relational representation. Our approach uses a tree-b...
William Dabney, Amy McGovern
AI
1999
Springer
13 years 9 months ago
Using Grice's maxim of Quantity to select the content of plan descriptions
Intelligent systems are often called upon to form plans that direct their own or other agents' activities. For these systems, the ability to describe plans to people in natur...
R. Michael Young
CMOT
1999
143views more  CMOT 1999»
13 years 9 months ago
Structural Learning: Attraction and Conformity in Task-Oriented Groups
This study extends previous research that showed how informal social sanctions can backfire when members prefer friendship over enforcement of group norms. We use a type of neural...
James A. Kitts, Michael W. Macy, Andreas Flache
AI
1999
Springer
13 years 9 months ago
Coalition Structure Generation with Worst Case Guarantees
Coalition formation is a key topic in multiagent systems. One may prefer a coalition structure that maximizes the sum of the values of the coalitions, but often the number of coal...
Tuomas Sandholm, Kate Larson, Martin Andersson, On...
LPAR
2001
Springer
14 years 2 months ago
Local Conditional High-Level Robot Programs
When it comes to building robot controllers, highlevel programming arises as a feasible alternative to planning. The task then is to verify a high-level program by finding a lega...
Sebastian Sardiña