Blind Spot Detection for Safe Sim-to-Real Transfer
JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH, pp. 191.0-234, 2020.
Agents trained in simulation may make errors when performing actions in the real world due to mismatches between training and execution environments. These mistakes can be dangerous and difficult for the agent to discover because the agent is unable to predict them a priori. In this work, we propose the use of oracle feedback to learn a p...More
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