1262 search results - page 183 / 253 » Reinforcement Learning: An Introduction |
ICML
2009
IEEE
14 years 9 months ago
2009
IEEE
Approximate Linear Programming (ALP) is a reinforcement learning technique with nice theoretical properties, but it often performs poorly in practice. We identify some reasons for...
ICML
2004
IEEE
14 years 9 months ago
2004
IEEE
We compute a common feature selection or kernel selection configuration for multiple support vector machines (SVMs) trained on different yet inter-related datasets. The method is ...
ICML
2003
IEEE
14 years 9 months ago
2003
IEEE
We present metric?? , a provably near-optimal algorithm for reinforcement learning in Markov decision processes in which there is a natural metric on the state space that allows t...
ICML
2003
IEEE
14 years 9 months ago
2003
IEEE
In Reinforcement Learning (RL) there has been some experimental evidence that the residual gradient algorithm converges slower than the TD(0) algorithm. In this paper, we use the ...
IJCNN
2006
IEEE
14 years 2 months ago
2006
IEEE
— Delegating the coordination role to proxy agents can improve the overall outcome of the task at the expense of cognitive overload due to switching subtasks. Stability and commi...