167 search results - page 10 / 34 » Incremental reinforcement learning for designing multi-agent... |
IJRR
2008
15 years 5 days ago
2008
Designing distributed controllers for self-reconfiguring modular robots has been consistently challenging. We have developed a reinforcement learning approach which can be used bo...
90
Voted
FLAIRS
1998
15 years 1 months ago
1998
Reinforcement learning (RL) problems constitute an important class of learning and control problems faced by artificial intelligence systems. In these problems, one is faced with ...
101
Voted
ILP
2003
Springer
15 years 5 months ago
2003
Springer
RRL is a relational reinforcement learning system based on Q-learning in relational state-action spaces. It aims to enable agents to learn how to act in an environment that has no ...
74
Voted
ICML
2002
IEEE
16 years 29 days ago
2002
IEEE
We explore dynamic shaping to integrate our prior beliefs of the final policy into a conventional reinforcement learning system. Shaping provides a positive or negative artificial...
80
Voted
FLAIRS
1998
15 years 1 months ago
1998
Our focus is on designing adaptable agents for highly dynamic environments. Wehave implementeda reinforcement learning architecture as the reactive componentof a twolayer control ...