Generative Inverse Deep Reinforcement Learning for Online Recommendation

Author:

Chen Xiaocong1,Yao Lina1,Sun Aixin2,Wang Xianzhi3,Xu Xiwei4,Zhu Liming4

Affiliation:

1. University of New South Wales, Sydney, NSW, Australia

2. Nanyang Technological University, Singapore, Singapore

3. University of Technology Sydney, Sydney, NSW, Australia

4. Data 61, CSIRO, Sydney, NSW, Australia

Publisher

ACM

Reference32 articles.

1. Apprenticeship learning via inverse reinforcement learning

2. Xueying Bai Jian Guan and Hongning Wang. 2019. A Model-Based Reinforcement Learning with Adversarial Training for Online Recommendation. In Advances in Neural Information Processing Systems. 10735--10746. Xueying Bai Jian Guan and Hongning Wang. 2019. A Model-Based Reinforcement Learning with Adversarial Training for Online Recommendation. In Advances in Neural Information Processing Systems. 10735--10746.

3. Infinite time horizon maximum causal entropy inverse reinforcement learning

4. Large-Scale Interactive Recommendation with Tree-Structured Policy Gradient

5. Stabilizing Reinforcement Learning in Dynamic Environment with Application to Online Recommendation

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