2011 search results - page 59 / 403 » Universal Reinforcement Learning |
136
Voted
ETS
2000
IEEE
15 years 3 months ago
2000
IEEE
The paper provides an insight into the changing nature of the learning process through the adoption of interactive new media solutions into a traditional University Campus. The us...
113
click to vote
GECCO
2005
Springer
15 years 9 months ago
2005
Springer
Recurrent neural networks are theoretically capable of learning complex temporal sequences, but training them through gradient-descent is too slow and unstable for practical use i...
153
click to vote
ATAL
2008
Springer
15 years 5 months ago
2008
Springer
The problem of coalition formation when agents are uncertain about the types or capabilities of their potential partners is a critical one. In [3] a Bayesian reinforcement learnin...
125
click to vote
ICRA
2009
IEEE
15 years 10 months ago
2009
IEEE
— In the reinforcement learning literature, transfer is the capability to reuse on a new problem what has been learnt from previous experiences on similar problems. Adapting tran...
139
click to vote
ICCBR
2005
Springer
15 years 9 months ago
2005
Springer
CBR is one of the techniques that can be applied to the task of approximating a function over high-dimensional, continuous spaces. In Reinforcement Learning systems a learning agen...