914 search results - page 49 / 183 » Descriptions of Game Actions |
ATAL
2011
Springer
12 years 8 months ago
2011
Springer
We develop an algorithm for opponent modeling in large extensive-form games of imperfect information. It works by observing the opponent’s action frequencies and building an opp...
GECCO
2008
Springer
13 years 10 months ago
2008
Springer
In the course of the recent complexification and sophistication of commercial computer games, the creation of competitive artificial players that are able to behave intelligentl...
COLT
2004
Springer
14 years 2 months ago
2004
Springer
Abstract. We consider Reinforcement Learning for average reward zerosum stochastic games. We present and analyze two algorithms. The first is based on relative Q-learning and the ...
ICCS
2005
Springer
14 years 2 months ago
2005
Springer
A machine learning technique for handling scenarios of interaction between conflicting agents is suggested. Scenarios are represented by directed graphs with labeled vertices (for ...
AIPS
2000
13 years 10 months ago
2000
This paper develops Probabilistic Hybrid Action Models (PHAMs), a realistic causal model for predicting the behavior generated by modern concurrent percept-driven robot plans. PHA...