Structural Causal Bandits: Where to Intervene?

By Sanghack Lee, Elias Bareinboim. 2018

124 citations recorded by the source corpus.

How researchers see this paper

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

1. Yoshua Bengio
2. Dacheng Tao
3. Sergey Levine
4. Danilo Jimenez Rezende
5. Ruslan Salakhutdinov
6. Bernhard Schölkopf
7. Pieter Abbeel
8. Zhe Gan

Citations in the corpus

• Causally Correct Partial Models for Reinforcement Learning (2020, background): “…interest in combining causal inference with RL research in the directions of non-model-based bandit algorithms (Bareinboim et al., 2015; Forney et al., 2017; Zhang & Bareinboim, 2017; Lee & Bareinboim, 2018; Bradtke & Barto, 1996; Lu et al., 2018) and causal discovery with RL (Zhu & Chen, 2019).”
• A Relational Intervention Approach for Unsupervised Dynamics Generalization in Model-Based Reinforcement Learning (2022, background): “Lee & Bareinboim (2018); Bareinboim et al. (2015); Lattimore et al. (2016); Mozifian et al. (2020); Volodin et al. (2020) also explore how to design an optimal intervention policy in bandits or RL settings.”