170 search results - page 5 / 34 » Learning to play Tetris applying reinforcement learning meth... |
IJCAI
2001
14 years 11 months ago
2001
Most formulations of Reinforcement Learning depend on a single reinforcement reward value to guide the search for the optimal policy solution. If observation of this reward is rar...
CIG
2005
IEEE
15 years 3 months ago
2005
IEEE
A newly designed game is introduced, which feels like Backgammon, but has a simplified rule set. Unlike earlier attempts at simplifying the game, Nannon maintains enough features a...
ROBOCUP
2007
Springer
15 years 3 months ago
2007
Springer
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
COLT
2004
Springer
15 years 3 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 ...
IJCNN
2000
IEEE
15 years 2 months ago
2000
IEEE
The timely and accurate detection of computer and network system intrusions has always been an elusive goal for system administrators and information security researchers. Existin...