4345 search results - page 37 / 869 » Relational Reinforcement Learning |
NIPS
2004
14 years 11 months ago
2004
Successful application of reinforcement learning algorithms often involves considerable hand-crafting of the necessary non-linear features to reduce the complexity of the value fu...
AAAI
2010
14 years 11 months ago
2010
IJCAI
2007
14 years 11 months ago
2007
Deictic representation is a representational paradigm, based on selective attention and pointers, that allows an agent to learn and reason about rich complex environments. In this...
76
Voted
HICSS
2005
IEEE
15 years 3 months ago
2005
IEEE
The study investigates the impact of weblog use on individual learning in a university environment. Weblogs are a relatively new knowledge sharing technology, which enables people...
109
Voted
ICCBR
2009
Springer
15 years 4 months ago
2009
Springer
This work presents a new approach that allows the use of cases in a case base as heuristics to speed up Reinforcement Learning algorithms, combining Case Based Reasoning (CBR) and ...