189 search results - page 16 / 38 » Learning Automation Policies for Pervasive Computing Environ... |
ATAL
2009
Springer
15 years 6 months ago
2009
Springer
We present a general methodology to automate the search for equilibrium strategies in games derived from computational experimentation. Our approach interleaves empirical game-the...
JAIR
2011
14 years 6 months ago
2011
Markovian processes have long been used to model stochastic environments. Reinforcement learning has emerged as a framework to solve sequential planning and decision-making proble...
AIIDE
2008
15 years 2 months ago
2008
We introduce the ALeRT (Action-dependent Learning Rates with Trends) algorithm that makes two modifications to the learning rate and one change to the exploration rate of traditio...
ILP
2007
Springer
15 years 5 months ago
2007
Springer
In reinforcement learning problems, an agent has the task of learning a good or optimal strategy from interaction with his environment. At the start of the learning task, the agent...
ACMSE
2006
ACM
15 years 5 months ago
2006
ACM
Software is increasingly pervasive in the products we use. Consequently, more programmers are needed to develop the software, and consequently there is unmet demand on programming...