615 search results - page 79 / 123 » A social reinforcement learning agent |
105
Voted
EVOW
2003
Springer
15 years 6 months ago
2003
Springer
The most recent advances of artificial life research are opening up a new frontier: the creation of simulated life environments populated by autonomous agents. In several cases a n...
89
Voted
IROS
2006
IEEE
15 years 6 months ago
2006
IEEE
Abstract— Decision trees, being human readable and hierarchically structured, provide a suitable mean to derive state-space abstraction and simplify the inclusion of the availabl...
121
Voted
IJCNN
2008
IEEE
15 years 7 months ago
2008
IEEE
— When an agent observes its environment, there are two important characteristics of the perceived information. One is the relevance of information and the other is redundancy. T...
131
Voted
ICML
2000
IEEE
16 years 1 months ago
2000
IEEE
Eligibility traces have been shown to speed reinforcement learning, to make it more robust to hidden states, and to provide a link between Monte Carlo and temporal-difference meth...
133
Voted
CI
2005
15 years 19 days ago
2005
Autonomous agents that learn about their environment can be divided into two broad classes. One class of existing learners, reinforcement learners, typically employ weak learning ...