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149
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ATAL
2011
Springer
14 years 3 months ago
Learning action models for multi-agent planning
In multi-agent planning environments, action models for each agent must be given as input. However, creating such action models by hand is difficult and time-consuming, because i...
Hankz Hankui Zhuo, Hector Muñoz-Avila, Qian...
131
Voted
ETS
2000
IEEE
100views Hardware» more  ETS 2000»
15 years 3 months ago
Pre-class Planning to Scaffold Students for Online Collaborative Learning Activities
In recent years, there is a growing interest in developing online collaborative learning environments. In a learner-centered online collaborative environment, students work togeth...
Xun Ge, Kelly Ann Yamashiro, Jack Lee
ICML
2007
IEEE
16 years 4 months ago
Multi-task reinforcement learning: a hierarchical Bayesian approach
We consider the problem of multi-task reinforcement learning, where the agent needs to solve a sequence of Markov Decision Processes (MDPs) chosen randomly from a fixed but unknow...
Aaron Wilson, Alan Fern, Soumya Ray, Prasad Tadepa...
146
Voted
ECP
1997
Springer
105views Robotics» more  ECP 1997»
15 years 8 months ago
Planning, Learning, and Executing in Autonomous Systems
Systems that act autonomously in the environment have to be able to integrate three basic behaviors: planning, execution, and learning. Planning involves describing a set of action...
Ramón García-Martínez, Daniel...
126
Voted
GCC
2003
Springer
15 years 9 months ago
Research and Design of Remote Education System Based on CSCW
Guided by the cooperation theory, this paper puts forward an interactive and cooperative learning environment design that is based on the self-learning mode and cooperative learnin...
Chunzhi Wang, Miao Shao, Jing Xia, Huachao Chen