Social interaction for efficient agent learning from human reward
Learning from rewards generated by a human trainer observing an agent in action has been proven to be a powerful method for teaching autonomous agents to perform challenging tasks, especially for those non-technical users. Since the efficacy of this approach depends critically on the reward the trai...
| Main Authors: | , , , |
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| Format: | Journal article |
| Published: |
Springer US
2017
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