Correspondence Mapping Induced State and Action Metrics for Robotic Imitation

By Aris Alissandrakis, Chrystopher L. Nehaniv, Kerstin Dautenhahn. 2007

88 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Control and Systems Engineering, Mechanical 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. Prashant Doshi

In Control and Systems Engineering

1. Prashant Doshi

Citations in the corpus

• Simitate: A Hybrid Imitation Learning Benchmark (2019, neutral): “Some metrics have been proposed mainly for the correspondence problem of imitation learning tasks [44].”
• A survey of robot learning from demonstration (2009, unknown): “Multiple autonomous agents request advice and provide demonstrations for each other [76], and agents with both similar and dis-similar embodiments to learn movements from each other through imitation [51,100].”
• Multi-robot inverse reinforcement learning under occlusion with interactions (2014, background): “Other multi-robot learning from demonstrations places a robot as an expert and another as the learner [3].”