56 search results - page 4 / 12 » Reinforcement Learning for Average Reward Zero-Sum Games |
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ESANN
2008
14 years 11 months ago
2008
In this paper the application of reinforcement learning to Tetris is investigated, particulary the idea of temporal difference learning is applied to estimate the state value funct...
104
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GECCO
2006
Springer
15 years 1 months ago
2006
Springer
This paper describes our study into the concept of using rewards in a classifier system applied to the acquisition of decision-making algorithms for agents in a soccer game. Our a...
ICML
2000
IEEE
15 years 10 months ago
2000
IEEE
This paper discusses theoretical and experimental aspects of gradient-based approaches to the direct optimization of policy performance in controlled ??? ?s. We introduce ??? ?, a...
78
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NECO
2010
14 years 8 months ago
2010
Most conventional Policy Gradient Reinforcement Learning (PGRL) algorithms neglect (or do not explicitly make use of) a term in the average reward gradient with respect to the pol...
COLT
2003
Springer
15 years 2 months ago
2003
Springer
We study on-line play of repeated matrix games in which the observations of past actions of the other player and the obtained reward are partial and stochastic. We define the Part...