106 search results - page 9 / 22 » Performance Bounded Reinforcement Learning in Strategic Inte... |
68
Voted
IROS
2009
IEEE
15 years 4 months ago
2009
IEEE
—This study attempts to make a compact humanoid robot acquire a giant-swing motion without any robotic models by using reinforcement learning; only the interaction with environme...
96
Voted
ICCV
2003
IEEE
15 years 2 months ago
2003
IEEE
Relevance feedback (RF) is an interactive process which refines the retrievals by utilizing user’s feedback history. Most researchers strive to develop new RF techniques and ign...
138
click to vote
CSL
2012
Springer
13 years 5 months ago
2012
Springer
Reinforcement techniques have been successfully used to maximise the expected cumulative reward of statistical dialogue systems. Typically, reinforcement learning is used to estim...
123
click to vote
BERTINORO
2005
Springer
15 years 3 months ago
2005
Springer
Abstract. This paper describes the application of a decentralised coordination algorithm, called Collaborative Reinforcement Learning (CRL), to two different distributed system pr...
NECO
2007
14 years 9 months ago
2007
Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...