Yesterday's Reward is Today's Punishment: Contrast Effects in Human Feedback to Reinforcement Learning Agents

AAMAS '19: International Conference on Autonomous Agents and Multiagent Systems Auckland ..., pp.1090-1097, (2020)

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Abstract

Autonomous agents promise users of a personalized future, allowing them to direct their attention to tasks most meaningful to them. However, the demands of personalization stand unfulfilled by current agent training paradigms such as machine learning, which require many orders of data to train agents on a single task. In sequential decisi...More

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