60 search results - page 8 / 12 » DFA Learning of Opponent Strategies |
NIPS
2001
15 years 1 months ago
2001
We propose a new classification for multi-agent learning algorithms, with each league of players characterized by both their possible strategies and possible beliefs. Using this c...
ATAL
2008
Springer
15 years 1 months ago
2008
Springer
Reward shaping is a well-known technique applied to help reinforcement-learning agents converge more quickly to nearoptimal behavior. In this paper, we introduce social reward sha...
AIIDE
2006
15 years 1 months ago
2006
Learning how to defeat human players is a challenging task in today's commercial computer games. This paper suggests a goal-directed hierarchical dynamic scripting approach f...
104
click to vote
JDCTA
2010
14 years 6 months ago
2010
To gain insights into the neural basis of such adaptive decision-making processes, we investigated the nature of learning process in humans playing a competitive game with binary ...
105
click to vote
AMEC
2004
Springer
15 years 5 months ago
2004
Springer
Abstract. This paper documents the development of three autonomous stocktrading agents within the framework of the Penn Exchange Simulator (PXS), a novel stock-trading simulator th...