1772 search results - page 251 / 355 » Classifying Problems into Complexity Classes |
ICML
2003
IEEE
14 years 11 months ago
2003
IEEE
Hierarchical reinforcement learning is a general framework which attempts to accelerate policy learning in large domains. On the other hand, policy gradient reinforcement learning...
HICSS
2007
IEEE
14 years 4 months ago
2007
IEEE
One of the main contributions of classical mechanism design is the derivation of the Groves mechanisms. The class of Groves mechanisms are the only mechanisms that are strategy-pr...
GECCO
2006
Springer
14 years 1 months ago
2006
Springer
In this paper, we propose the island model parallel memetic algorithm with diversity-based dynamic adaptive strategy (PMADLS) for controlling the local search frequency and demons...
AAAI
1998
13 years 11 months ago
1998
When search techniques are used to solve a practical problem, the solution produced is often brittle in the sense that small execution difficulties can have an arbitrarily large e...
ATAL
2010
Springer
13 years 11 months ago
2010
Springer
In this paper, we study a particular subclass of partially observable models, called quasi-deterministic partially observable Markov decision processes (QDET-POMDPs), characterize...