135 search results - page 27 / 27 » Bounded Parameter Markov Decision Processes |
CORR
2008
Springer
13 years 6 months ago
2008
Springer
We consider concurrent games played on graphs. At every round of the game, each player simultaneously and independently selects a move; the moves jointly determine the transition ...
NIPS
1998
13 years 7 months ago
1998
In this paper, we consider Markov Decision Processes (MDPs) with error states. Error states are those states entering which is undesirable or dangerous. We define the risk with re...
NECO
2007
13 years 5 months 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 ...
WINET
2010
13 years 4 months ago
2010
—We extend the modeling heuristic of [1] to evaluate the performance of an IEEE 802.11e infrastructure network carrying packet telephone calls, streaming video sessions and TCP c...
CORR
2011
Springer
13 years 1 months ago
2011
Springer
Valiant’s (2007) model of evolvability models the evolutionary process of acquiring useful functionality as a restricted form of learning from random examples. Linear threshold ...