Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor
2018 • 15192 Citations
Published in 35th International Conference on Machine Learning (ICML 2018)
Tuomas Haarnoja
Tuomas Haarnoja is a researcher affiliated with DeepMind, specializing in AI & Machine Learning. Their work has been cited 24,406 times. This profile visualizes their global influence, highlighting strong citation networks in CN.
AI & Machine Learning
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Tuomas Haarnoja's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 24,406
- Citing Countries
- 6
As of April 2026.
Tuomas Haarnoja has an h-index of 1 and 24,406 total citations across 1 publication, with research cited by institutions in 6 countries.
Global Impact Map
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Top Citing Countries(Limited)
China(CN)
24India(IN)
3Germany(DE)
3United Kingdom(GB)
2United States(US)
1United Kingdom(GB)
1Top Citing Institutions(Limited)
Renmin University of China
13Peking University
10Technical University of Munich
3Google DeepMind
2Rajasthan Rajya Vidyut Prasaran Nigam Limited
1King's College London
1Tongji University
1University College London
1Dayananda Sagar College of Engineering
1Manipal Academy of Higher Education
1Visa Evidence Package
Views and exports tuned for EB-1A, O-1A, and EB-2 NIW petitions. Sustained acclaim, geographic reach, and independent-citation filtering are the strongest evidence categories immigration adjudicators look for.
Citer Influence Network
Visa-ready visualisation: each outer ring node is a country citing this scholar. Node size & edge weight scale with citing-paper count. Showing top 6 of 6 countries (34 total citations).
Letter of Support — Candidate Recommenders
Ranked by EB-1A / O-1A relevance: independence from your home institution, affiliation with a top-ranked institution, repeat citations of your work, and recency. Reach out to the highest-scoring candidates to request support letters.
- #1
Yaodong Yang
9.0Peking University
China· Cited your work 2 times
IndependentTop institutionMulti-cite - #2
Long Yang
7.0Peking University
China· Cited your work 1 time
IndependentTop institution - #3
Florian Walter
7.0Technical University of Munich
Germany· Cited your work 1 time
IndependentTop institution - #4
Shangding Gu
7.0Technical University of Munich
Germany· Cited your work 1 time
IndependentTop institution - #5
Timothy Lillicrap
8.5Google DeepMind
United Kingdom· Cited your work 1 time
IndependentTop institutionDiversifies geography - #6
Jurgis Pasukonis
8.5Google DeepMind
USA· Cited your work 1 time
IndependentTop institutionDiversifies geography - #7
Yali Du
7.0King's College London
UK· Cited your work 1 time
IndependentTop institution - #8
Jun Wang
7.0University College London
UK· Cited your work 1 time
IndependentTop institution - #9
Sowmya Ravichandran (R. Sowmya)
5.0Manipal Academy of Higher Education
India· Cited your work 1 time
Independent - #10
Premkumar Manoharan (M. Premkumar)
5.0Dayananda Sagar College of Engineering
India· Cited your work 1 time
Independent
Scores combine 5 signals: independence (+3), prestige institution (+2), repeat citations (+2 per paper, cap 5), recent activity (+1), and geography diversity (+1.5). Identity matching uses name + institution; namesakes at the same org are merged.
Cited by 5 papers
5 / 5 independent
Citations flagged as non-independent share the scholar's home institution (University of California, Berkeley). EB-1A & O-1A petitions typically quote the independent-citation count as the stronger evidence of outside recognition.
Lei Wang, Xueyang Feng, Zeyu Zhang, Hao Yang + 9 more
Frontiers of Computer Science· cites “Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor”
Yaodong Yang, Shangding Gu, Long Yang, Yali Du + 4 more
IEEE Transactions on Pattern Analysis and Machine Intelligence· cites “Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor”
Timothy Lillicrap, Jurgis Pasukonis, Danijar Hafner, Jimmy Ba
Nature· cites “Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor”
Jiaming Ji, Xuehai Pan, Yaodong Yang, Yizhou Wang + 4 more
The Twelfth International Conference on Learning Representations (ICLR 2024)· cites “Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor”
Sowmya Ravichandran (R. Sowmya), Premkumar Manoharan (M. Premkumar), Pradeep Jangir (P. Jangir)
Engineering Applications of Artificial Intelligence· cites “Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor”
Top Cited Works(Showing 1 of 1)
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