CueLearner learns a relative-feedback model from a small number of human directional corrections and uses it to guide off-policy RL exploration or refine a deployed policy.
Dqn-tamer: Human-in-the-loop reinforcement learning with intractable feedback,
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CueLearner: Bootstrapping and local policy adaptation from relative feedback
CueLearner learns a relative-feedback model from a small number of human directional corrections and uses it to guide off-policy RL exploration or refine a deployed policy.