An investigation of imitation learning algorithms for structured prediction

By Andreas Vlachos. 2012

26 citations recorded by the source corpus.

Subfields: Reinforcement Learning

How researchers see this paper

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

In Reinforcement Learning

1. Sergey Levine
2. Ken Goldberg
3. Yoshua Bengio
4. Anirudh Goyal
5. Aaron C. Courville
6. Kelvin Xu
7. Pieter Abbeel
8. Joelle Pineau

Citations in the corpus

• An Actor-Critic Algorithm for Sequence Prediction (2016, methodology): “Imitation learning has also been applied to structured prediction (Vlachos, 2012).”
• DART: Noise Injection for Robust Imitation Learning (2017, background): “However, it has been shown local gradient updates suffer in performance compared to full retraining of the policy [23].”
• Training Deterministic Parsers with Non-Deterministic Oracles (2013, methodology): “In machine learning more generally, our approach can be seen as a problem-specific instance of imitation learning (Abbeel and Ng, 2004; Vlachos, 2012; He et al., 2012; Daumé III et al., 2009; Ross et al., 2011), where the dynamic oracle is used to im-”