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ICCBR
2009
Springer
14 years 1 months ago
S-Learning: A Model-Free, Case-Based Algorithm for Robot Learning and Control
A model-free, case-based learning and control algorithm called S-learning is described as implemented in a simulation of a light-seeking mobile robot. S-learning demonstrated learn...
Brandon Rohrer
AAAI
2000
13 years 8 months ago
A Method for Clustering the Experiences of a Mobile Robot that Accords with Human Judgments
If robotic agents are to act autonomously they must have the ability to construct and reason about models of their physical environment. For example, planning to achieve goals req...
Tim Oates, Matthew D. Schmill, Paul R. Cohen
ICCBR
2009
Springer
13 years 5 months ago
Constraint-Based Case-Based Planning Using Weighted MAX-SAT
Previous approaches to case-based planning often finds a similar plan case to a new planning problem to adapt to solve the new problem. However, in the case base, there may be some...
Hankui Zhuo, Qiang Yang, Lei Li
UKCBR
1995
13 years 11 months ago
Self-Questioning and Experimentation: An Index Vocabulary of Situated Interaction
Various cognitive and computational models have addressed the use of previous experience to understand a new domain. In particular, research in case-based reasoning has explored t...
Rüdiger Oehlmann, Peter Edwards, Derek H. Sle...
ICRA
2009
IEEE
139views Robotics» more  ICRA 2009»
14 years 2 months ago
Transfer of knowledge for a climbing Virtual Human: A reinforcement learning approach
— In the reinforcement learning literature, transfer is the capability to reuse on a new problem what has been learnt from previous experiences on similar problems. Adapting tran...
Benoit Libeau, Alain Micaelli, Olivier Sigaud