1235 search results - page 66 / 247 » Reinforcement learning in a nutshell |
CAEPIA
2011
Springer
12 years 10 months ago
2011
Springer
In this paper we apply the recent notion of anytime universal intelligence tests to the evaluation of a popular reinforcement learning algorithm, Q-learning. We show that a general...
NIPS
1996
13 years 11 months ago
1996
Dynamic Programming, Q-learning and other discrete Markov Decision Process solvers can be applied to continuous d-dimensional state-spaces by quantizing the state space into an arr...
ATAL
2004
Springer
14 years 3 months ago
2004
Springer
One of the main challenges in Grid computing is efficient allocation of resources (CPU-hours, network bandwidth, etc.) to the tasks submitted by users. Due to the lack of centrali...
AAAI
2000
13 years 11 months ago
2000
Reinforcement learning (RL) can be impractical for many high dimensional problems because of the computational cost of doing stochastic search in large state spaces. We propose a ...
EWCBR
2006
Springer
14 years 1 months ago
2006
Springer
Abstract. In both research fields, Case-Based Reasoning and Reinforcement Learning, the system under consideration gains its expertise from experience. Utilizing this fundamental c...