192 search results - page 36 / 39 » Multi-agent Relational Reinforcement Learning |
ICCBR
2001
Springer
13 years 12 months ago
2001
Springer
It is useful for an intelligent software agent to be able to adapt to new demands from an environment. Such adaptation can be viewed as a redesign problem; an agent has some origin...
EC
2006
13 years 7 months ago
2006
The performance of a learning classifier system is due to its two main components. First, it evolves new structures by generating new rules in a genetic process; second, it adjust...
CL
2000
Springer
13 years 11 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...
ATAL
2006
Springer
13 years 11 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
13 years 9 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...