120 search results - page 21 / 24 » Learning a Game Strategy Using Pattern-Weights and Self-play |
ATAL
2007
Springer
14 years 1 months ago
2007
Springer
Classically, an approach to the multiagent policy learning supposed that the agents, via interactions and/or by using preliminary knowledge about the reward functions of all playe...
AAAI
2010
13 years 8 months ago
2010
Bayesian inference is an appealing approach for leveraging prior knowledge in reinforcement learning (RL). In this paper we describe an algorithm for discovering different classes...
ATAL
2008
Springer
13 years 9 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...
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
When constructing a classifier from labeled data, it is important not to assign too much weight to any single input feature, in order to increase the robustness of the classifier....
ALT
2005
Springer
14 years 4 months ago
2005
Springer
This paper shows how universal learning can be achieved with expert advice. To this aim, we specify an experts algorithm with the following characteristics: (a) it uses only feedba...