79 search results - page 10 / 16 » Transfer Learning in Reinforcement Learning Problems Through... |
181
click to vote
AAAI
1996
15 years 6 months ago
1996
Procedural representations of control policies have two advantages when facing the scale-up problem in learning tasks. First they are implicit, with potential for inductive genera...
168
click to vote
GECCO
2010
Springer
15 years 10 months ago
2010
Springer
An important goal for the generative and developmental systems (GDS) community is to show that GDS approaches can compete with more mainstream approaches in machine learning (ML)....
175
Voted
IROS
2009
IEEE
15 years 12 months ago
2009
IEEE
— Partially Observable Markov Decision Processes (POMDPs) provide a rich mathematical model to handle realworld sequential decision processes but require a known model to be solv...
152
Voted
IJCAI
2003
15 years 6 months ago
2003
In multiagent environments, forms of social learning such as teaching and imitation have been shown to aid the transfer of knowledge from experts to learners in reinforcement lear...
144
Voted
ICRA
2010
IEEE
15 years 3 months ago
2010
IEEE
Abstract— We consider the problem of apprenticeship learning when the expert’s demonstration covers only a small part of a large state space. Inverse Reinforcement Learning (IR...