4345 search results - page 148 / 869 » Relational Reinforcement Learning |
131
Voted
ATAL
2006
Springer
15 years 7 months ago
2006
Springer
This paper studies scalable data delivery algorithms in mobile ad hoc sensor networks with node and link failures. Many algorithms have been developed for data delivery and fusion...
AAAI
2008
15 years 5 months ago
2008
Hierarchical state decompositions address the curse-ofdimensionality in Q-learning methods for reinforcement learning (RL) but can suffer from suboptimality. In addressing this, w...
138
Voted
CL
2000
Springer
15 years 7 months ago
2000
Springer
In this paper I give a brief overview of recent work on uncertainty inAI, and relate it to logical representations. Bayesian decision theory and logic are both normative frameworks...
112
Voted
ATAL
2006
Springer
15 years 7 months ago
2006
Springer
Coordinating agents in a complex environment is a hard problem, but it can become even harder when certain characteristics of the tasks, like the required number of agents, are un...
134
Voted
AAAI
1994
15 years 4 months ago
1994
Researchers in the eld of Distributed Arti cial Intelligence (DAI) have been developing e cient mechanisms to coordinate the activities of multiple autonomous agents. The need for...