← Search

Max Reppen

1 accepted papers

2020

Deep PQR: Solving Inverse Reinforcement Learning using Anchor Actions

ICML 2020accepted

We propose a reward function estimation framework for inverse reinforcement learning with deep energy-based policies. We name our method PQR, as it sequentially estimates the Policy, the Q-function, and the Reward function by deep learning. PQR does not assume that the reward solely depends on the s…

Cited by 22SourcePDFScholar