2217 search results - page 236 / 444 » Learning from Collective Behavior |
107
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NECO
2007
15 years 5 days ago
2007
Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...
113
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NIPS
1996
15 years 2 months ago
1996
Dynamic Programming, Q-learning and other discrete Markov Decision Process solvers can be applied to continuous d-dimensional state-spaces by quantizing the state space into an arr...
128
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EMSOFT
2005
Springer
15 years 6 months ago
2005
Springer
Real-time systems have reached a level of complexity beyond the scaling capability of the low-level or restricted languages traditionally used for real-time programming. While Met...
84
Voted
CDC
2008
IEEE
15 years 7 months ago
2008
IEEE
— We study the problem of dynamic learning by a social network of agents. Each agent receives a signal about an underlying state and communicates with a subset of agents (his nei...
101
Voted
KDD
2010
ACM
15 years 2 months ago
2010
ACM
Advances in data collection and storage capacity have made it increasingly possible to collect highly volatile graph data for analysis. Existing graph analysis techniques are not ...