889 search results - page 4 / 178 » Observational Learning in Random Networks |
135
Voted
ICANN
2001
Springer
15 years 6 months ago
2001
Springer
Unlike traditional reinforcement learning (RL), market-based RL is in principle applicable to worlds described by partially observable Markov Decision Processes (POMDPs), where an ...
108
Voted
NIPS
2008
15 years 3 months ago
2008
Randomized neural networks are immortalized in this well-known AI Koan: In the days when Sussman was a novice, Minsky once came to him as he sat hacking at the PDP-6. "What a...
113
click to vote
ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
A plausible representation of relational information among entities in dynamic systems such as a living cell or a social community is a stochastic network which is topologically r...
142
click to vote
WIOPT
2011
IEEE
14 years 6 months ago
2011
IEEE
Abstract—This paper considers maximizing throughput utility in a multi-user network with partially observable Markov ON/OFF channels. Instantaneous channel states are never known...
96
Voted
ICCV
2007
IEEE
16 years 4 months ago
2007
IEEE
We present a novel stochastic, adaptive strategy for tracking multiple people in a large network of video cameras. Similarities between features (appearance and biometrics) observ...