Adversarial Batch Inverse Reinforcement Learning: Learn to Reward from Imperfect Demonstration for Interactive Recommendation
Author:
Affiliation:
1. Chinese Academy of Sciences,Computer Network Information Center,Beijing,China
2. Beijing Information Science and Technology University,Beijing,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10579968/10579982/10580175.pdf?arnumber=10580175
Reference22 articles.
1. Cirs: Bursting filter bubbles by counterfactual interactive recommender system;Gao
2. Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning
3. Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning
4. A General Offline Reinforcement Learning Framework for Interactive Recommendation
5. Learning robust rewards with adverserial inverse reinforcement learning;Fu
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