186 search results - page 25 / 38 » Transfer of Learning for Complex Task Domains: a Demonstrati... |
123
Voted
ICRA
2006
IEEE
15 years 9 months ago
2006
IEEE
— In this paper, we consider the problem of exploring an unknown environment with a team of mobile robots. One of the key issues in multi-robot exploration is how to assign targe...
123
Voted
AGENTS
1999
Springer
15 years 8 months ago
1999
Springer
In this paper, we present a novel multi-agent learning paradigm called team-partitioned, opaque-transition reinforcement learning (TPOT-RL). TPOT-RL introduces the concept of usin...
127
Voted
TSMC
2008
15 years 3 months ago
2008
Multiagent systems are rapidly finding applications in a variety of domains, including robotics, distributed control, telecommunications, and economics. The complexity of many task...
139
Voted
KDD
2009
ACM
15 years 8 months ago
2009
ACM
Inductive Logic Programming (ILP) systems have been successfully applied to solve complex problems in bioinformatics by viewing them as binary classification tasks. It remains an...
161
Voted
AR
2007
15 years 3 months ago
2007
In robotics, recognition of human activity has been used extensively for robot task learning through imitation and demonstration. However, there has not been much work on modeling...