1290 search results - page 1 / 258 » New algorithms of the Q-learning type |
ICML
1998
IEEE
14 years 5 months ago
1998
IEEE
This paper presents a new approach to hierarchical reinforcement learning based on the MAXQ decomposition of the value function. The MAXQ decomposition has both a procedural seman...
FUZZIEEE
2007
IEEE
13 years 11 months ago
2007
IEEE
— In this paper, we propose two novel indices for type-2 fuzzy rule ranking to identify the most influential fuzzy rules in designing type-2 fuzzy logic systems, and name them a...
AUTOMATICA
2008
13 years 5 months ago
2008
We propose two algorithms for Q-learning that use the two-timescale stochastic approximation methodology. The first of these updates Q-values of all feasible state
HIPEAC
2011
Springer
12 years 4 months ago
2011
Springer
Dynamic typing is a barrier for JavaScript applications to achieve high performance. Compared with statically typed languages, the major overhead of dynamic typing comes from runt...
CONCUR
2006
Springer
13 years 8 months ago
2006
Springer
We extend a previous type system for the -calculus that guarantees deadlock-freedom. The previous type systems for deadlockfreedom either lacked a reasonable type inference algorit...