246 search results - page 6 / 50 » On Optimal Learning Algorithms for Multiplicity Automata |
IJCAI
2003
13 years 8 months ago
2003
We present a new algorithm, GM-Sarsa(0), for finding approximate solutions to multiple-goal reinforcement learning problems that are modeled as composite Markov decision processe...
AAAI
1996
13 years 8 months ago
1996
Agents that operate in a multi-agent system need an efficient strategy to handle their encounters with other agents involved. Searching for an optimal interactive strategy is a ha...
GECCO
2006
Springer
13 years 11 months ago
2006
Springer
Recognition of motifs in multiple unaligned sequences provides an insight into protein structure and function. The task of discovering these motifs is very challenging because mos...
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
Multi-task learning (MTL) aims to improve generalization performance by learning multiple related tasks simultaneously. In this paper, we consider the problem of learning shared s...
COLT
2010
Springer
13 years 5 months ago
2010
Springer
Bandit convex optimization is a special case of online convex optimization with partial information. In this setting, a player attempts to minimize a sequence of adversarially gen...