62 search results - page 7 / 13 » Hierarchical Memory-Based Reinforcement Learning |
77
Voted
GECCO
2003
Springer
15 years 8 months ago
2003
Springer
96
Voted
JAIR
2000
15 years 3 months ago
2000
119
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PKDD
2009
Springer
15 years 10 months ago
2009
Springer
Abstract. Innovations such as optimistic exploration, function approximation, and hierarchical decomposition have helped scale reinforcement learning to more complex environments, ...
166
Voted
AAAI
1996
15 years 4 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...