4544 search results - page 91 / 909 » Reinforcement Learning with Time |
AAAI
2000
13 years 10 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 17 days 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...
ATAL
2007
Springer
14 years 3 months ago
2007
Springer
This paper proposes the β-WoLF algorithm for multiagent reinforcement learning (MARL) in the stochastic games framework that uses an additional “advice” signal to inform agen...
ICML
2002
IEEE
14 years 9 months ago
2002
IEEE
In many reinforcement learning applications, the set of possible actions can be partitioned by the programmer into subsets of similar actions. This paper presents a technique for ...
ATAL
2007
Springer
14 years 3 months ago
2007
Springer
It is known that the complexity of the reinforcement learning algorithms, such as Q-learning, may be exponential in the number of environment’s states. It was shown, however, th...