Environment Reconstruction with Hidden Confounders for Reinforcement Learning based Recommendation-Reference-Cited by-同舟云学术

Environment Reconstruction with Hidden Confounders for Reinforcement Learning based Recommendation

Published:2019-07-25 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
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Author:

Shang Wenjie¹,Yu Yang¹,Li Qingyang²,Qin Zhiwei²,Meng Yiping²,Ye Jieping²

Affiliation:

1. Nanjing University, Nanjing, China

2. AI Labs, Didi Chuxing, Beijing, China

Funder

NSFC

National Key R&D Program of China

Jiangsu SF

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3292500.3330933

Reference21 articles.

1. A survey of robot learning from demonstration

2. Bandits with Unobserved Confounders;Bareinboim Elias;A Causal Approach. In Advances in Neural Information Processing Systems,2015

3. Ian Goodfellow Jean Pouget-Abadie Mehdi Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron C. Courville and Yoshua Bengio. 2014. Generative Adversarial Nets. In Advances in Neural Information Processing Systems 27. 2672--2680. Ian Goodfellow Jean Pouget-Abadie Mehdi Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron C. Courville and Yoshua Bengio. 2014. Generative Adversarial Nets. In Advances in Neural Information Processing Systems 27. 2672--2680.

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