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FLAIRS
2008
13 years 7 months ago
Learning Continuous Action Models in a Real-Time Strategy Environment
Although several researchers have integrated methods for reinforcement learning (RL) with case-based reasoning (CBR) to model continuous action spaces, existing integrations typic...
Matthew Molineaux, David W. Aha, Philip Moore
ACL
2011
12 years 9 months ago
Learning to Win by Reading Manuals in a Monte-Carlo Framework
This paper presents a novel approach for leveraging automatically extracted textual knowledge to improve the performance of control applications such as games. Our ultimate goal i...
S. R. K. Branavan, David Silver, Regina Barzilay
IAT
2010
IEEE
13 years 3 months ago
Using a Social Orientation Model for the Evolution of Cooperative Societies
We utilize evolutionary game theory to study the evolution of cooperative societies and the behaviors of individual agents (i.e., players) in such societies. We present a novel pla...
Kan-Leung Cheng, Inon Zuckerman, Ugur Kuter, Dana ...
CRV
2005
IEEE
198views Robotics» more  CRV 2005»
13 years 11 months ago
Analysis of Player Actions in Selected Hockey Game Situations
We present a proof of concept system to represent and reason about hockey play. The system takes as input player motion trajectory data tracked from game video and supported by kn...
Fahong Li, Robert J. Woodham
EMNLP
2008
13 years 6 months ago
An Analysis of Active Learning Strategies for Sequence Labeling Tasks
Active learning is well-suited to many problems in natural language processing, where unlabeled data may be abundant but annotation is slow and expensive. This paper aims to shed ...
Burr Settles, Mark Craven