Open-World Learning for Radically Autonomous Agents

November, 2019
IDA document: D-10953
FFRDC: Systems and Analyses Center
Type: Documents
Division: Information Technology and Systems Division
Authors:

Authors

Pat Langley See more authors

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document cover, Open-World Learning for Radically Autonomous Agents

This paper poses a new research challenge – to develop intelligent agents that exhibit radical autonomy by responding to sudden, long-term changes in their environments.