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What Is It You Really Want of Me? Generalized Reward Learning with Biased Beliefs about Domain Dynamics

AAAI 2020 · Reinforcement learning › RL from feedback · approach: Theory of RLHF · 6 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
learn human's biased belief about dynamics (GeReL) vs MaxEnt-IRLreward learning · Reversed Up & Downd(R): 23.32 -> 12.17Helped
learn human's biased belief about dynamics (GeReL) vs MaxEnt-IRLreward learning · Rotated Beliefd(R): 28.02 -> 12.61Helped
GeReL vs SERD (soft value iteration)reward and dynamics learning · Reversed Up & Downd(R): 16.43 -> 12.17Helped
GeReL vs SERDreward and dynamics learning · Rotated Beliefd(R): 17.62 -> 12.61Helped
update domain dynamics belief (GeReL) vs fixed true dynamics (GeReL−) (ablation)GeReL · Reversed Up & Downd(Θ): 0.56 -> 0.06Helped
update domain dynamics belief vs GeReL− (ablation)GeReL · Rotated Beliefd(Θ): 0.91 -> 0.08Helped
update domain dynamics belief vs GeReL− (ablation)GeReL · Reversed Up & Downd(π): 1.46 -> 0.11Helped
update domain dynamics belief vs GeReL− (ablation)GeReL · Rotated Beliefd(π): 1.43 -> 0.23Helped
GeReL vs SERD on belief estimationreward and dynamics learning · Reversed Up & Downd(Θ): 0.38 -> 0.06Helped
GeReL vs SERD on policy KLreward and dynamics learning · Rotated Beliefd(π): 0.63 -> 0.23Helped
robot appearance (humanoid vs mobile) biases belief about spilling coffee under umbrellahuman participants · Coffee Robot user studyQ1 Likert: 2.92 -> 3.58Helped
robot appearance (humanoid vs mobile) changes concern about robot getting wethuman participants · Coffee Robot user studyQ2 Likert: 2.83 -> 3.67Helped

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