Sciweavers

19 search results - page 3 / 4
» Dynamic programming analysis of the TV game
Sort
View
CDC
2010
IEEE
105views Control Systems» more  CDC 2010»
13 years 23 days ago
Learning in mean-field oscillator games
This research concerns a noncooperative dynamic game with large number of oscillators. The states are interpreted as the phase angles for a collection of non-homogeneous oscillator...
Huibing Yin, Prashant G. Mehta, Sean P. Meyn, Uday...
FPCA
1995
13 years 9 months ago
Pi-Calculus, Dialogue Games and PCF
Game semantics is an unusual denotational semantics in that it captures the intensional (or algorithmic) and dynamical aspects of the computation. This makes it an ideal semantica...
J. M. E. Hyland, C.-H. Luke Ong
VALUETOOLS
2006
ACM
176views Hardware» more  VALUETOOLS 2006»
13 years 11 months ago
How to solve large scale deterministic games with mean payoff by policy iteration
Min-max functions are dynamic programming operators of zero-sum deterministic games with finite state and action spaces. The problem of computing the linear growth rate of the or...
Vishesh Dhingra, Stephane Gaubert
NIPS
1996
13 years 7 months ago
Why did TD-Gammon Work?
Although TD-Gammon is one of the major successes in machine learning, it has not led to similar impressive breakthroughs in temporal difference learning for other applications or ...
Jordan B. Pollack, Alan D. Blair
CEC
2010
IEEE
13 years 6 months ago
Learning to overtake in TORCS using simple reinforcement learning
In modern racing games programming non-player characters with believable and sophisticated behaviors is getting increasingly challenging. Recently, several works in the literature ...
Daniele Loiacono, Alessandro Prete, Pier Luca Lanz...