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109
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FLAIRS
2008
15 years 3 months ago
A Case-Based Reasoning Approach to Imitating RoboCup Players
We describe an effort to train a RoboCup soccer-playing agent playing in the Simulation League using casebased reasoning. The agent learns (builds a case base) by observing the be...
Michael W. Floyd, Babak Esfandiari, Kevin Lam
91
Voted
AIIDE
2008
15 years 3 months ago
Direction Maps for Cooperative Pathfinding
Cooperative behavior is a desired trait in many fields from computer games to robotics. Yet, achieving cooperative behavior is often difficult, as maintaining shared information a...
M. Renee Jansen, Nathan R. Sturtevant
IJCAI
2003
15 years 2 months ago
Trainability: Developing a responsive learning system
In this paper, we describe the lessons we learned in developing AgentBuilder, a commercial system for rapidly creating agents that extract information from web sites. AgentBuilder...
Steven Minton, Sorinel I. Ticrea, Jennifer Beach
EWRL
2008
15 years 2 months ago
Markov Decision Processes with Arbitrary Reward Processes
Abstract. We consider a control problem where the decision maker interacts with a standard Markov decision process with the exception that the reward functions vary arbitrarily ove...
Jia Yuan Yu, Shie Mannor, Nahum Shimkin
106
Voted
SOFSEM
2007
Springer
15 years 6 months ago
Incremental Learning of Planning Operators in Stochastic Domains
In this work we assume that there is an agent in an unknown environment (domain). This agent has some predefined actions and it can perceive its current state in the environment c...
Javad Safaei, Gholamreza Ghassem-Sani