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cs.LG2024
Provably Efficient Off-Policy Adversarial Imitation Learning with Convergence Guarantees
Yilei Chen, Vittorio Giammarino, James Queeney +1
Adversarial Imitation Learning (AIL) faces challenges with sample inefficiency because of its reliance on sufficient on-policy data to evaluate the performance of the current polic…
cs.LG2024
Multiple-policy Evaluation via Density Estimation
Yilei Chen, Aldo Pacchiano, Ioannis Ch. Paschalidis
We study the multiple-policy evaluation problem where we are given a set of policies and the goal is to evaluate their performance (expected total reward over a fixed horizon)…