Sergey Levine
University of California, Berkeley
Assistant Professor
Department of Electrical Engineering and Computer Sciences
Research Area
#Computer science#Artificial intelligence#Reinforcement learning#Robot#Machine learning#Artificial neural network#Human-computer interaction#Range (mathematics)#Function (engineering)#Variety (cybernetics)
SCIE paper information
Papers relevant to ‘Computer science’: 4
Research performance of SCIE papers matching with ‘Computer science’
*Papers published between 2014 and 2020 were selected, and the citation number was determined by bing.com.
End-to-end training of deep visuomotor policies
2016/01 JOURNAL OF MACHINE LEARNING RESEARCH 5 Impact Factor 2126 citations
DeepMimic: example-guided deep reinforcement learning of physics-based character skills
2018/07 ACM TRANSACTIONS ON GRAPHICS 6.495 Impact Factor 322 citations
Papers for author ‘Sergey Levine’: 4
Number of published SCIE papers by year
*Papers published between 2014 and 2020 were selected, and the citation number was determined by bing.com.
End-to-end training of deep visuomotor policies
2016/01 JOURNAL OF MACHINE LEARNING RESEARCH 5 Impact Factor 2126 citations
DeepMimic: example-guided deep reinforcement learning of physics-based character skills
2018/07 ACM TRANSACTIONS ON GRAPHICS 6.495 Impact Factor 322 citations
conference information
Papers relevant to ‘Computer science’: 74
Research performance of Top-tier Conference matching with ‘Computer science’
*Papers published between 2014 and 2020 were selected, and the citation number was determined by bing.com.
Trust Region Policy Optimization
2015/07 ICML Top-tier Conference 3858 citations
Model-agnostic meta-learning for fast adaptation of deep networks
2017/08 ICML Top-tier Conference 2995 citations
Papers for author ‘Sergey Levine’: 77
Number of published Top-tier Conference by year
*Papers published between 2014 and 2020 were selected, and the citation number was determined by bing.com.
Trust Region Policy Optimization
2015/07 ICML Top-tier Conference 3858 citations
Model-agnostic meta-learning for fast adaptation of deep networks
2017/08 ICML Top-tier Conference 2995 citations
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