Compressive Features in Offline Reinforcement Learning for Recommender Systems
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9671263/9671273/09671419.pdf?arnumber=9671419
Reference27 articles.
1. Learning from delayed rewards;watkins,1989
2. Human-level control through deep reinforcement learning
3. Self-improving reactive agents based on reinforcement learning, planning and teaching
4. Boosting Offline Reinforcement Learning with Residual Generative Modeling
5. Bench-marking batch deep reinforcement learning algorithms;fujimoto;arXiv preprint arXiv 1910 01500,2019
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