128 search results - page 14 / 26 » Planning, Execution and Learning in a Robotic Agent |
121
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CI
2005
14 years 11 months ago
2005
Autonomous agents that learn about their environment can be divided into two broad classes. One class of existing learners, reinforcement learners, typically employ weak learning ...
124
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ATAL
1999
Springer
15 years 4 months ago
1999
Springer
Abstract. This paper will discuss the internal architecture for an agent framework called DECAF (Distributed Environment Centered Agent Framework). DECAF is a software toolkit for ...
CIMCA
2005
IEEE
15 years 5 months ago
2005
IEEE
A fuzzy inference model for learning from experiences (FILE) is proposed. The model can learn from experience data obtained by trial-and-error of a task and it can stably learn fr...
JETAI
2002
14 years 11 months ago
2002
We study decision-theoretic planning or reinforcement learning in the presence of traps such as steep slopes for outdoor robots or staircases for indoor robots. In this case, achi...
116
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AAAI
2011
13 years 11 months ago
2011
When mobile robots perform tasks in environments with humans, it seems appropriate for the robots to rely on such humans for help instead of dedicated human oracles or supervisors...