强化学习 (Chinese Wikipedia)

Analysis of information sources in references of the Wikipedia article "强化学习" in Chinese language version.

refsWebsite

Global rank Chinese rank

9doi.org

2^nd place

23^rd place

5worldcat.org

5^th place

12^th place

4web.archive.org

1^st place

2springer.com

274^th place

320^th place

1ieee.org

652^nd place

712^th place

1jair.org

low place

1semanticscholar.org

11^th place

332^nd place

1arxiv.org

69^th place

254^th place

1tokic.com

low place

arxiv.org (Global: 69^th place; Chinese: 254^th place)

Kaelbling, L. P.; Littman, M. L.; Moore, A. W. Reinforcement Learning: A Survey. Journal of Artificial Intelligence Research. 1996-05-01, 4: 237-285 [2025-03-15]. ISSN 1076-9757. S2CID 1708582. arXiv:cs/9605103 . doi:10.1613/jair.301. （原始内容存档于2025-05-04）.

doi.org (Global: 2^nd place; Chinese: 23^rd place)

Hu, Junyan; Niu, Hanlin; Carrasco, Joaquin; Lennox, Barry; Arvin, Farshad. Voronoi-Based Multi-Robot Autonomous Exploration in Unknown Environments via Deep Reinforcement Learning. IEEE Transactions on Vehicular Technology. 2020-12, 69 (12): 14413-14423. ISSN 1939-9359. doi:10.1109/TVT.2020.3034800. （原始内容存档于2021-08-13）.
Kaelbling, L. P.; Littman, M. L.; Moore, A. W. Reinforcement Learning: A Survey. Journal of Artificial Intelligence Research. 1996-05-01, 4: 237-285 [2025-03-15]. ISSN 1076-9757. S2CID 1708582. arXiv:cs/9605103 . doi:10.1613/jair.301. （原始内容存档于2025-05-04）.
van Otterlo, Martijn; Wiering, Marco, Wiering, Marco; van Otterlo, Martijn , 编, Reinforcement Learning and Markov Decision Processes 12, Springer Berlin Heidelberg: 3–42, 2012 [2025-03-15], ISBN 978-3-642-27644-6, doi:10.1007/978-3-642-27645-3_1
Partially Observable Markov Decision Processes, Springer-Verlag, [2025-08-11]
Noguer I Alonso, Miquel. Unifying Mathematical Perspectives on Reinforcement Learning: Integrating Sutton-Barto, Bertsekas and Powell. doi.org. 2025 [2025-08-11].
Figure 3: Risk of bias summary (Abreu et al., 2017; Afshar et al., 2010; Ai, 2020; Bolasco et al., 2011; Cai et al., 2022; Chen, Zhao & Huang, 2019; Dai & Ma, 2021; Deng, 2011; Dong et al., 2011; Fakhrpour et al., 2020; Fang et al., 2023; Feng et al., 2020; Frih et al., 2017; Hristea et al., 2016; Jeong et al., 2019; Kozlowska et al., 2023; Leng, 2012; Li et al., 2008; Li & Feng, 2020; Liao et al., 2016; Limwannata et al., 2021; Lu, 2022; Martin-Alemañy et al., 2020, 2016, 2022; Sezer et al., 2014; Shi et al., 2021; Su et al., 2022; Sun, Sun & Yang, 2022a; Tabibi et al., 2023; Tan et al., 2015; Tayebi, Ramezani & Kashef, 2018; Vijaya et al., 2019; Wang & Liu, 2021; Wang, 2018; Wang et al., 2019; Wang, 2019; Wang et al., 2023; Wei, 2020; Wen et al., 2022; Wilund et al., 2010; Xu et al., 2022; Xu & Fang, 2016; Yan, Zhao & Peng, 2022; Yang et al., 2021; Yao et al., 2020; Yu & Cao, 2018; Zeng et al., 2020; Zhou, 2020; Zhou et al., 2016; Zhu et al., 2020).. doi.org. [2025-08-11].
Bertsekas, Dimitri P. Regular Policies in Abstract Dynamic Programming. SIAM Journal on Optimization. 2017-01, 27 (3) [2025-08-11]. ISSN 1052-6234. doi:10.1137/16m1090946.
Walsh, W. E.; Wellman, M. P. Decentralized Supply Chain Formation: A Market Protocol and Competitive Equilibrium Analysis. Journal of Artificial Intelligence Research. 2003-11-01, 19 [2025-08-11]. ISSN 1076-9757. doi:10.1613/jair.1213.
Levine, Seth M. A comment on Morey et al. (2020). Translational Neuroscience. 2020-01-01, 11 (1) [2025-08-11]. ISSN 2081-6936. doi:10.1515/tnsci-2020-0121.

ieee.org (Global: 652^nd place; Chinese: 712^th place)

ieeexplore.ieee.org

Hu, Junyan; Niu, Hanlin; Carrasco, Joaquin; Lennox, Barry; Arvin, Farshad. Voronoi-Based Multi-Robot Autonomous Exploration in Unknown Environments via Deep Reinforcement Learning. IEEE Transactions on Vehicular Technology. 2020-12, 69 (12): 14413-14423. ISSN 1939-9359. doi:10.1109/TVT.2020.3034800. （原始内容存档于2021-08-13）.

jair.org (Global: low place; Chinese: low place)

Kaelbling, L. P.; Littman, M. L.; Moore, A. W. Reinforcement Learning: A Survey. Journal of Artificial Intelligence Research. 1996-05-01, 4: 237-285 [2025-03-15]. ISSN 1076-9757. S2CID 1708582. arXiv:cs/9605103 . doi:10.1613/jair.301. （原始内容存档于2025-05-04）.

semanticscholar.org (Global: 11^th place; Chinese: 332^nd place)

api.semanticscholar.org

Kaelbling, L. P.; Littman, M. L.; Moore, A. W. Reinforcement Learning: A Survey. Journal of Artificial Intelligence Research. 1996-05-01, 4: 237-285 [2025-03-15]. ISSN 1076-9757. S2CID 1708582. arXiv:cs/9605103 . doi:10.1613/jair.301. （原始内容存档于2025-05-04）.

springer.com (Global: 274^th place; Chinese: 320^th place)

link.springer.com

van Otterlo, Martijn; Wiering, Marco, Wiering, Marco; van Otterlo, Martijn , 编, Reinforcement Learning and Markov Decision Processes 12, Springer Berlin Heidelberg: 3–42, 2012 [2025-03-15], ISBN 978-3-642-27644-6, doi:10.1007/978-3-642-27645-3_1

springer.com

Gosavi, Abhijit. Simulation-based Optimization: Parametric Optimization Techniques and Reinforcement. Springer. 2003 [2015-08-19]. ISBN 1-4020-7454-9. （原始内容存档于2012-06-15）.

tokic.com (Global: low place; Chinese: low place)

Tokic, Michel; Palm, Günther, Value-Difference Based Exploration: Adaptive Control Between Epsilon-Greedy and Softmax, KI 2011: Advances in Artificial Intelligence (PDF), Lecture Notes in Computer Science 7006, Springer: 335–346, 2011 [2018-09-03], ISBN 978-3-642-24455-1, （原始内容存档 (PDF)于2018-11-23）

web.archive.org (Global: 1^st place; Chinese: 1^st place)

Hu, Junyan; Niu, Hanlin; Carrasco, Joaquin; Lennox, Barry; Arvin, Farshad. Voronoi-Based Multi-Robot Autonomous Exploration in Unknown Environments via Deep Reinforcement Learning. IEEE Transactions on Vehicular Technology. 2020-12, 69 (12): 14413-14423. ISSN 1939-9359. doi:10.1109/TVT.2020.3034800. （原始内容存档于2021-08-13）.
Kaelbling, L. P.; Littman, M. L.; Moore, A. W. Reinforcement Learning: A Survey. Journal of Artificial Intelligence Research. 1996-05-01, 4: 237-285 [2025-03-15]. ISSN 1076-9757. S2CID 1708582. arXiv:cs/9605103 . doi:10.1613/jair.301. （原始内容存档于2025-05-04）.
Gosavi, Abhijit. Simulation-based Optimization: Parametric Optimization Techniques and Reinforcement. Springer. 2003 [2015-08-19]. ISBN 1-4020-7454-9. （原始内容存档于2012-06-15）.
Tokic, Michel; Palm, Günther, Value-Difference Based Exploration: Adaptive Control Between Epsilon-Greedy and Softmax, KI 2011: Advances in Artificial Intelligence (PDF), Lecture Notes in Computer Science 7006, Springer: 335–346, 2011 [2018-09-03], ISBN 978-3-642-24455-1, （原始内容存档 (PDF)于2018-11-23）

worldcat.org (Global: 5^th place; Chinese: 12^th place)

Hu, Junyan; Niu, Hanlin; Carrasco, Joaquin; Lennox, Barry; Arvin, Farshad. Voronoi-Based Multi-Robot Autonomous Exploration in Unknown Environments via Deep Reinforcement Learning. IEEE Transactions on Vehicular Technology. 2020-12, 69 (12): 14413-14423. ISSN 1939-9359. doi:10.1109/TVT.2020.3034800. （原始内容存档于2021-08-13）.
Kaelbling, L. P.; Littman, M. L.; Moore, A. W. Reinforcement Learning: A Survey. Journal of Artificial Intelligence Research. 1996-05-01, 4: 237-285 [2025-03-15]. ISSN 1076-9757. S2CID 1708582. arXiv:cs/9605103 . doi:10.1613/jair.301. （原始内容存档于2025-05-04）.
Bertsekas, Dimitri P. Regular Policies in Abstract Dynamic Programming. SIAM Journal on Optimization. 2017-01, 27 (3) [2025-08-11]. ISSN 1052-6234. doi:10.1137/16m1090946.
Walsh, W. E.; Wellman, M. P. Decentralized Supply Chain Formation: A Market Protocol and Competitive Equilibrium Analysis. Journal of Artificial Intelligence Research. 2003-11-01, 19 [2025-08-11]. ISSN 1076-9757. doi:10.1613/jair.1213.
Levine, Seth M. A comment on Morey et al. (2020). Translational Neuroscience. 2020-01-01, 11 (1) [2025-08-11]. ISSN 2081-6936. doi:10.1515/tnsci-2020-0121.

强化学习 (Chinese Wikipedia)

arxiv.org (Global: 69th place; Chinese: 254th place)

doi.org (Global: 2nd place; Chinese: 23rd place)

ieee.org (Global: 652nd place; Chinese: 712th place)