Off-Policy Actor-critic for Recommender Systems-Reference-Cited by-同舟云学术

Off-Policy Actor-critic for Recommender Systems

Published:2022-09-18 Issue: Volume: Page:
ISSN:
Container-title:Sixteenth ACM Conference on Recommender Systems
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Author:

Chen Minmin¹,Xu Can¹,Gatto Vince¹,Jain Devanshu¹,Kumar Aviral¹,Chi Ed¹

Affiliation:

1. Google, United States

Publisher

ACM

Reference75 articles.

1. Joshua Achiam David Held Aviv Tamar and Pieter Abbeel. 2017. Constrained policy optimization. arXiv preprint arXiv:1705.10528(2017). Joshua Achiam David Held Aviv Tamar and Pieter Abbeel. 2017. Constrained policy optimization. arXiv preprint arXiv:1705.10528(2017).

2. Rishabh Agarwal Dale Schuurmans and Mohammad Norouzi. 2019. Striving for Simplicity in Off-policy Deep Reinforcement Learning. arXiv preprint arXiv:1907.04543(2019). Rishabh Agarwal Dale Schuurmans and Mohammad Norouzi. 2019. Striving for Simplicity in Off-policy Deep Reinforcement Learning. arXiv preprint arXiv:1907.04543(2019).

3. Top-K Off-Policy Correction for a REINFORCE Recommender System

4. User Response Models to Improve a REINFORCE Recommender System

5. Minmin Chen Ramki Gummadi Chris Harris and Dale Schuurmans. 2019. Surrogate Objectives for Batch Policy Optimization in One-step Decision Making. In Advances in Neural Information Processing Systems. 8825–8835. Minmin Chen Ramki Gummadi Chris Harris and Dale Schuurmans. 2019. Surrogate Objectives for Batch Policy Optimization in One-step Decision Making. In Advances in Neural Information Processing Systems. 8825–8835.

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