258 search results - page 1 / 52 » Continuous Capacities on Continuous State Spaces |
ICALP
2007
Springer
13 years 10 months ago
2007
Springer
We propose axiomatizing some stochastic games, in a continuous state space setting, using continuous belief functions, resp. plausibilities, instead of measures. Then, stochastic g...
NIPS
2008
13 years 6 months ago
2008
Continuous attractor neural networks (CANNs) are emerging as promising models for describing the encoding of continuous stimuli in neural systems. Due to the translational invaria...
ATAL
2007
Springer
13 years 10 months ago
2007
Springer
We present a new method for carrying out state estimation in multiagent settings that are characterized by continuous or large discrete state spaces. State estimation in multiagen...
AAAI
2007
13 years 7 months ago
2007
State estimation in multiagent settings involves updating an agent’s belief over the physical states and the space of other agents’ models. Performance of the previous approac...
AAAI
1998
13 years 6 months ago
1998
Reinforcement learning is an effective technique for learning action policies in discrete stochastic environments, but its efficiency can decay exponentially with the size of the ...