8 search results - page 2 / 2 » A neural network implementing optimal state estimation based... |
JIRS
2008
13 years 4 months ago
2008
Abstract This paper proposes an approach for reducing the computational complexity of a model-predictive-control strategy for discrete-time hybrid systems with discrete inputs only...
GECCO
2007
Springer
13 years 11 months ago
2007
Springer
Opponent models are necessary in games where the game state is only partially known to the player, since the player must infer the state of the game based on the opponent’s acti...
ATAL
2005
Springer
13 years 10 months ago
2005
Springer
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...