124 search results - page 17 / 25 » Congestion control as a stochastic control problem with acti... |
CDC
2010
IEEE
13 years 2 months ago
2010
IEEE
Abstract-- We consider reinforcement learning, and in particular, the Q-learning algorithm in large state and action spaces. In order to cope with the size of the spaces, a functio...
AUGHUMAN
2011
13 years 2 months ago
2011
: Today in general traffic field, visual signs and audio cues are used for pedestrian control. As the pedestrians need to acquire and recognize them, time delay between cognition a...
ATAL
2005
Springer
14 years 1 months ago
2005
Springer
We present here Extended Markov Tracking (EMT), a computationally tractable method for the online estimation of Markovian system dynamics, along with experimental support for its ...
AAAI
2000
13 years 8 months ago
2000
Reinforcement learning (RL) can be impractical for many high dimensional problems because of the computational cost of doing stochastic search in large state spaces. We propose a ...
ML
1998
ACM
13 years 7 months ago
1998
ACM
Recent algorithmic and theoretical advances in reinforcement learning (RL) have attracted widespread interest. RL algorithmshave appeared that approximatedynamic programming on an ...