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Inverse Decision Modeling: Learning Interpretable Representations of Behavior

ICML 2021 · Reinforcement learning › Imitation learning · approach: Reward learning from demonstrations

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Recover Bayesian posterior of flexibility parameter alpha from simulated behavior with alpha_true=10^-5, 0.5, 10 (vs. ground truth)Inverse bounded rational control (DIAG simulation) · DIAG simulated POMDPrecovered alpha vs true alphaHelped
Model optimism (beta) and adaptivity (eta) jointly via inverse bounded rational control instead of standard Bayesian IRL reward learningInverse bounded rational control vs. conventional IRL · DIAG simulated POMDP, optimistic vs. non-adaptive behaviorsability to differentiate two biased behaviorsHelped

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