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ICML
2010
IEEE
15 years 4 months ago
Constructing States for Reinforcement Learning
POMDPs are the models of choice for reinforcement learning (RL) tasks where the environment cannot be observed directly. In many applications we need to learn the POMDP structure ...
M. M. Hassan Mahmud
SIGUCCS
2003
ACM
15 years 11 months ago
The technology learning center (TLC): a comprehensive learning environment for students
As technology becomes more pervasive in our lives, and continues to change rapidly, it is essential for college students to have opportunities to improve their computer abilities ...
Sheree Kornkven
ICML
2005
IEEE
16 years 7 months ago
Unsupervised evidence integration
Many biological propositions can be supported by a variety of different types of evidence. It is often useful to collect together large numbers of such propositions, together with...
Philip M. Long, Vinay Varadan, Sarah Gilman, Mark ...
C5
2003
IEEE
15 years 11 months ago
A Conceptual Framework for Learning Experience Design
This paper describes our approach of utilizing a computational environment to apply a learner’s learning process as a first class object. With this approach, the learner’s le...
Kumiyo Nakakoji, Kazuaki Yamada, Yasuhiro Yamamoto...
ROBOCUP
2007
Springer
99views Robotics» more  ROBOCUP 2007»
16 years 14 days ago
Instance-Based Action Models for Fast Action Planning
Abstract. Two main challenges of robot action planning in real domains are uncertain action effects and dynamic environments. In this paper, an instance-based action model is lear...
Mazda Ahmadi, Peter Stone