709 search results - page 93 / 142 » Real-World Limits to Algorithmic Intelligence |
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AIIA
2007
Springer
15 years 3 months ago
2007
Springer
The application of Reinforcement Learning (RL) algorithms to learn tasks for robots is often limited by the large dimension of the state space, which may make prohibitive its appli...
CP
2000
Springer
15 years 2 months ago
2000
Springer
We perform a comprehensive theoretical and empirical study of the benefits of singleton consistencies. Our theoretical results help place singleton consistencies within the hierar...
AAAI
2007
15 years 1 days ago
2007
We consider problems of geometric exploration and selfdeployment for simple robots that can only sense the combinatorial (non-metric) features of their surroundings. Even with suc...
CP
2008
Springer
14 years 11 months ago
2008
Springer
Abstract. Table constraints play an important role within constraint programming. Recently, many schemes or algorithms have been proposed to propagate table constraints or/and to c...
AAAI
2010
14 years 11 months ago
2010
Relational Markov Decision Processes (MDP) are a useraction for stochastic planning problems since one can develop abstract solutions for them that are independent of domain size ...