CARoL measures task similarity by state-transition prediction errors and uses those similarities to weight prior policies, value functions, or actor-critic knowledge when adapting to a new task.
Deep reinforce- ment learning: A brief survey.IEEE Signal Processing Magazine, 34(6):26–38, 2017
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CARoL: Context-aware Adaptation for Robot Learning
CARoL measures task similarity by state-transition prediction errors and uses those similarities to weight prior policies, value functions, or actor-critic knowledge when adapting to a new task.