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ICML
2005
IEEE
14 years 10 months ago
Supervised versus multiple instance learning: an empirical comparison
We empirically study the relationship between supervised and multiple instance (MI) learning. Algorithms to learn various concepts have been adapted to the MI representation. Howe...
Soumya Ray, Mark Craven
IROS
2008
IEEE
203views Robotics» more  IROS 2008»
14 years 3 months ago
Learning equivalent action choices from demonstration
Abstract— In their interactions with the world robots inevitably face equivalent action choices, situations in which multiple actions are equivalently applicable. In this paper, ...
Sonia Chernova, Manuela M. Veloso
CHI
1998
ACM
14 years 1 months ago
New Media, New Practices: Experiences in Open Learning Course Design
We explore some of the complex issues surrounding the design and use of multimedia and Internet-based learning resources in distance education courses. We do so by analysing our e...
Tamara Sumner, Josie Taylor
GECCO
2000
Springer
143views Optimization» more  GECCO 2000»
14 years 24 days ago
A Genetic Algorithm for Automatically Designing Modular Reinforcement Learning Agents
Reinforcement learning (RL) is one of the machine learning techniques and has been received much attention as a new self-adaptive controller for various systems. The RL agent auto...
Isao Ono, Tetsuo Nijo, Norihiko Ono
IJCAI
2003
13 years 10 months ago
An Integrated Multilevel Learning Approach to Multiagent Coalition Formation
In this paper we describe an integrated multilevel learning approach to multiagent coalition formation in a real-time environment. In our domain, agents negotiate to form teams to...
Leen-Kiat Soh, Xin Li