39 search results - page 6 / 8 » Optimistic Planning of Deterministic Systems |
ECML
2007
Springer
13 years 10 months ago
2007
Springer
Abstract. We present a new reinforcement learning approach for deterministic continuous control problems in environments with unknown, arbitrary reward functions. The difficulty of...
CI
2005
13 years 6 months 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 ...
INFOCOM
1994
IEEE
13 years 10 months ago
1994
IEEE
In this paper, we introduce a deterministic fluid model and two stochastic traffic models for wireless networks. The setting is a highway with multiple entrances and exits. Vehicl...
TROB
2010
13 years 4 months ago
2010
Abstract—Modular robotic systems typically assemble using deterministic processes where modules are directly placed into their target position. By contrast, stochastic modular ro...
EUSFLAT
2009
13 years 4 months ago
2009
This paper proposes to analyze two flow line systems in which we include possibilistic data -the priority-discipline is possibilistic instead of probabilistic- and measure the perf...