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SAN-RL: combining spreading activation networks and reinforcement learning to learn configurable behaviorsThis approach provides the agent with a causal structure, the spreading activation network, relating goals to the actions that can achieve those goals. This enables the agent to select actions relative to the goal priorities.
Document ID
20060042432
Acquisition Source
Jet Propulsion Laboratory
Document Type
Conference Paper
External Source(s)
Authors
White, J.
Gaines, D. M.
Wilkes, M.
Kusumalnukool, K.
Thongchai, S.
Kawamura, K.
Date Acquired
August 23, 2013
Publication Date
October 28, 2001
Distribution Limits
Public
Copyright
Other
Keywords
bevavior-based robotics planning machine learning

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