70 search results - page 2 / 14 » Constructing optimal policies for agents with constrained ar... |
JAIR
2011
13 years 6 days 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...
IJCAI
1993
13 years 6 months ago
1993
Since its inception, arti cial intelligence has relied upon a theoretical foundation centred around perfect rationality as the desired property of intelligent systems. We argue, a...
JAIR
2010
13 years 3 months ago
2010
Because an agent’s resources dictate what actions it can possibly take, it should plan which resources it holds over time carefully, considering its inherent limitations (such a...
DAGSTUHL
2006
13 years 6 months ago
2006
This paper presents a method of constructing pre-routed FPGA cores which lays the foundations for a rapid system construction framework for dynamically reconfigurable computing sy...
AAAI
1996
1996
Computing Optimal Policies for Partially Observable Decision Processes Using Compact Representations
13 years 6 months ago
: Partially-observable Markov decision processes provide a very general model for decision-theoretic planning problems, allowing the trade-offs between various courses of actions t...