Funder
Fundamental Research Funds for the Central Universities
Natural Science Foundation of Jilin Province
Northeast Normal University
National Natural Science Foundation of China
Jilin University
National Key Research and Development Program of China
Subject
Artificial Intelligence,Computer Science Applications,General Engineering
Reference28 articles.
1. Agarwal, R., Schuurmans, D., & Norouzi, M. (2020). An Optimistic Perspective on Offline Reinforcement Learning. In International conference on machine learning (pp. 104–114).
2. Baird, L. C. (1995). Residual Algorithms: Reinforcement Learning with Function Approximation. In International conference on machine learning (pp. 30–37).
3. Bodnar, C., Day, B., & Li, P. (2020). Proximal Distilled Evolutionary Reinforcement Learning. In AAAI conference on artificial intelligence (pp. 3283–3290).
4. Brafman, R. I., & Tennenholtz, M. (2001). R-MAX - A General Polynomial Time Algorithm for Near-Optimal Reinforcement Learning. In International joint conference on artificial intelligence (pp. 953–958).
5. OpenAI Gym;Brockman,2016
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献