Sciweavers

3412 search results - page 87 / 683
» Efficient Reinforcement Learning
Sort
View
AR
2004
84views more  AR 2004»
15 years 16 days ago
Reinforcement learning of humanoid rhythmic walking parameters based on visual information
This paper presents a method for learning the parameters of rhythmic walking to generate purposive humanoid motions. The controller consists of the two layers: rhythmic walking is...
Masaki Ogino, Yutaka Katoh, Masahiro Aono, Minoru ...
96
Voted
ICSTM
2000
103views Management» more  ICSTM 2000»
15 years 2 months ago
The worst failure: repeated failure to learn
Performance measurement systems based on the principle that "if you can't measure it, you can't manage it" reinforce a short-term culture by focussing on tangi...
Alan C. McLucas
157
Voted
AI
1998
Springer
15 years 11 days ago
Model-Based Average Reward Reinforcement Learning
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
Prasad Tadepalli, DoKyeong Ok
82
Voted
KESAMSTA
2007
Springer
15 years 6 months ago
Reinforcement Learning on a Futures Market Simulator
: In recent years, market forecasting by machine learning methods has been flourishing. Most existing works use a past market data set, because they assume that each trader’s in...
Koichi Moriyama, Mitsuhiro Matsumoto, Ken-ichi Fuk...
104
Voted
VLSID
2005
IEEE
105views VLSI» more  VLSID 2005»
15 years 6 months ago
Placement and Routing for 3D-FPGAs Using Reinforcement Learning and Support Vector Machines
The primary advantage of using 3D-FPGA over 2D-FPGA is that the vertical stacking of active layers reduce the Manhattan distance between the components in 3D-FPGA than when placed...
R. Manimegalai, E. Siva Soumya, V. Muralidharan, B...