深度强化学习 (Chinese Wikipedia)

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

refsWebsite

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7web.archive.org

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6arxiv.org

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4doi.org

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3semanticscholar.org

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2harvard.edu

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1worldcat.org

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1nih.gov

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1toronto.edu

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1ieee.org

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arxiv.org

Francois-Lavet, Vincent; Henderson, Peter; Islam, Riashat; Bellemare, Marc G.; Pineau, Joelle. An Introduction to Deep Reinforcement Learning. Foundations and Trends in Machine Learning. 2018, 11 (3–4): 219–354. Bibcode:2018arXiv181112560F. ISSN 1935-8237. S2CID 54434537. arXiv:1811.12560 . doi:10.1561/2200000071.
Schulman, John; Levine, Sergey; Moritz, Philipp; Jordan, Michael; Abbeel, Pieter. Trust Region Policy Optimization. International Conference on Machine Learning (ICML). 2015 [2021-12-15]. arXiv:1502.05477 . （原始内容存档于2022-01-02）.
Schulman, John; Wolski, Filip; Dhariwal, Prafulla; Radford, Alec; Klimov, Oleg. Proximal Policy Optimization Algorithms. 2017 [2021-12-15]. arXiv:1707.06347 . （原始内容存档于2022-01-02）.
Lillicrap, Timothy; Hunt, Jonathan; Pritzel, Alexander; Heess, Nicolas; Erez, Tom; Tassa, Yuval; Silver, David; Wierstra, Daan. Continuous control with deep reinforcement learning. International Conference on Learning Representations (ICLR). 2016 [2021-12-15]. arXiv:1509.02971 . （原始内容存档于2022-01-02）.
Mnih, Volodymyr; Puigdomenech Badia, Adria; Mirzi, Mehdi; Graves, Alex; Harley, Tim; Lillicrap, Timothy; Silver, David; Kavukcuoglu, Koray. Asynchronous Methods for Deep Reinforcement Learning. International Conference on Machine Learning (ICML). 2016 [2021-12-15]. arXiv:1602.01783 . （原始内容存档于2022-01-08）.
Haarnoja, Tuomas; Zhou, Aurick; Levine, Sergey; Abbeel, Pieter. Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor. International Conference on Machine Learning (ICML). 2018 [2021-12-15]. arXiv:1801.01290 . （原始内容存档于2022-01-02）.

doi.org

Francois-Lavet, Vincent; Henderson, Peter; Islam, Riashat; Bellemare, Marc G.; Pineau, Joelle. An Introduction to Deep Reinforcement Learning. Foundations and Trends in Machine Learning. 2018, 11 (3–4): 219–354. Bibcode:2018arXiv181112560F. ISSN 1935-8237. S2CID 54434537. arXiv:1811.12560 . doi:10.1561/2200000071.
Mnih, Volodymyr; et al. Human-level control through deep reinforcement learning. Nature. 2015, 518 (7540): 529–533. Bibcode:2015Natur.518..529M. PMID 25719670. S2CID 205242740. doi:10.1038/nature14236.
Williams, Ronald J. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning. Machine Learning. 1992, 8 (3–4): 229–256. S2CID 2332513. doi:10.1007/BF00992696 .
Mohammadi, Mehdi; Al-Fuqaha, Ala; Guizani, Mohsen; Oh, Jun-Seok. Semisupervised Deep Reinforcement Learning in Support of IoT and Smart City Services. IEEE Internet of Things Journal. 2018, 5 (2): 624–635 [2018-06-25]. doi:10.1109/JIOT.2017.2712560. （原始内容存档于2019-06-01）.

harvard.edu

ui.adsabs.harvard.edu

Francois-Lavet, Vincent; Henderson, Peter; Islam, Riashat; Bellemare, Marc G.; Pineau, Joelle. An Introduction to Deep Reinforcement Learning. Foundations and Trends in Machine Learning. 2018, 11 (3–4): 219–354. Bibcode:2018arXiv181112560F. ISSN 1935-8237. S2CID 54434537. arXiv:1811.12560 . doi:10.1561/2200000071.
Mnih, Volodymyr; et al. Human-level control through deep reinforcement learning. Nature. 2015, 518 (7540): 529–533. Bibcode:2015Natur.518..529M. PMID 25719670. S2CID 205242740. doi:10.1038/nature14236.

ieee.org

ieeexplore.ieee.org

Mohammadi, Mehdi; Al-Fuqaha, Ala; Guizani, Mohsen; Oh, Jun-Seok. Semisupervised Deep Reinforcement Learning in Support of IoT and Smart City Services. IEEE Internet of Things Journal. 2018, 5 (2): 624–635 [2018-06-25]. doi:10.1109/JIOT.2017.2712560. （原始内容存档于2019-06-01）.

nih.gov

ncbi.nlm.nih.gov

Mnih, Volodymyr; et al. Human-level control through deep reinforcement learning. Nature. 2015, 518 (7540): 529–533. Bibcode:2015Natur.518..529M. PMID 25719670. S2CID 205242740. doi:10.1038/nature14236.

semanticscholar.org

api.semanticscholar.org

Francois-Lavet, Vincent; Henderson, Peter; Islam, Riashat; Bellemare, Marc G.; Pineau, Joelle. An Introduction to Deep Reinforcement Learning. Foundations and Trends in Machine Learning. 2018, 11 (3–4): 219–354. Bibcode:2018arXiv181112560F. ISSN 1935-8237. S2CID 54434537. arXiv:1811.12560 . doi:10.1561/2200000071.
Mnih, Volodymyr; et al. Human-level control through deep reinforcement learning. Nature. 2015, 518 (7540): 529–533. Bibcode:2015Natur.518..529M. PMID 25719670. S2CID 205242740. doi:10.1038/nature14236.
Williams, Ronald J. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning. Machine Learning. 1992, 8 (3–4): 229–256. S2CID 2332513. doi:10.1007/BF00992696 .

toronto.edu

cs.toronto.edu

Mnih, Volodymyr; et al. Playing Atari with Deep Reinforcement Learning (PDF). NIPS Deep Learning Workshop 2013. December 2013 [2021-12-15]. （原始内容存档 (PDF)于2014-09-12）.

web.archive.org

Schulman, John; Levine, Sergey; Moritz, Philipp; Jordan, Michael; Abbeel, Pieter. Trust Region Policy Optimization. International Conference on Machine Learning (ICML). 2015 [2021-12-15]. arXiv:1502.05477 . （原始内容存档于2022-01-02）.
Schulman, John; Wolski, Filip; Dhariwal, Prafulla; Radford, Alec; Klimov, Oleg. Proximal Policy Optimization Algorithms. 2017 [2021-12-15]. arXiv:1707.06347 . （原始内容存档于2022-01-02）.
Mnih, Volodymyr; et al. Playing Atari with Deep Reinforcement Learning (PDF). NIPS Deep Learning Workshop 2013. December 2013 [2021-12-15]. （原始内容存档 (PDF)于2014-09-12）.
Lillicrap, Timothy; Hunt, Jonathan; Pritzel, Alexander; Heess, Nicolas; Erez, Tom; Tassa, Yuval; Silver, David; Wierstra, Daan. Continuous control with deep reinforcement learning. International Conference on Learning Representations (ICLR). 2016 [2021-12-15]. arXiv:1509.02971 . （原始内容存档于2022-01-02）.
Mnih, Volodymyr; Puigdomenech Badia, Adria; Mirzi, Mehdi; Graves, Alex; Harley, Tim; Lillicrap, Timothy; Silver, David; Kavukcuoglu, Koray. Asynchronous Methods for Deep Reinforcement Learning. International Conference on Machine Learning (ICML). 2016 [2021-12-15]. arXiv:1602.01783 . （原始内容存档于2022-01-08）.
Haarnoja, Tuomas; Zhou, Aurick; Levine, Sergey; Abbeel, Pieter. Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor. International Conference on Machine Learning (ICML). 2018 [2021-12-15]. arXiv:1801.01290 . （原始内容存档于2022-01-02）.
Mohammadi, Mehdi; Al-Fuqaha, Ala; Guizani, Mohsen; Oh, Jun-Seok. Semisupervised Deep Reinforcement Learning in Support of IoT and Smart City Services. IEEE Internet of Things Journal. 2018, 5 (2): 624–635 [2018-06-25]. doi:10.1109/JIOT.2017.2712560. （原始内容存档于2019-06-01）.

worldcat.org

Francois-Lavet, Vincent; Henderson, Peter; Islam, Riashat; Bellemare, Marc G.; Pineau, Joelle. An Introduction to Deep Reinforcement Learning. Foundations and Trends in Machine Learning. 2018, 11 (3–4): 219–354. Bibcode:2018arXiv181112560F. ISSN 1935-8237. S2CID 54434537. arXiv:1811.12560 . doi:10.1561/2200000071.