Inverse Reinforcement Learning via Function Approximation for Clinical Motion Analysis

By Kun Li, Joel W. Burdick. 2017

15 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Biomedical Engineering

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Chao Yu
2. Jiming Liu
3. Shamim Nemati
4. Guoqi Ren

In Biomedical Engineering

1. Chao Yu
2. Jiming Liu
3. Shamim Nemati

Citations in the corpus

• Reinforcement Learning in Healthcare: A Survey (2019, methodology): “To solve the reward learning problem in a large state space, an IRL approach was proposed in Reference [122] to evaluate the effect of rehabilitative stimulations on patients with spinal cord injuries based on the observed patient motions.”