Stuart J. Russell
University of California, Berkeley
Professor
Department of Electrical Engineering and Computer Sciences
Group in Logic and the Methodology of Science
Research Area
#Computer science#Artificial intelligence#Machine learning#Robot#Algorithm#Mathematical optimization#Reinforcement learning#Theoretical computer science#Robustness (computer science)#Inference
SCIE paper information
Papers relevant to ‘Computer science’: 6
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.
Unifying logic and probability
2015/06 COMMUNICATIONS OF THE ACM 3.301 Impact Factor 70 citations
Letter to the Editor: Research Priorities for Robust and Beneficial Artificial Intelligence: An Open Letter
2015/12 AI MAGAZINE 0.629 Impact Factor 13 citations
Papers for author ‘Stuart J. Russell’: 8
Number of published SCIE papers by year
*Papers published between 2014 and 2020 were selected, and the citation number was determined by bing.com.
Research Priorities for Robust and Beneficial Artificial Intelligence
2015/12 AI MAGAZINE 0.629 Impact Factor 503 citations
Unifying logic and probability
2015/06 COMMUNICATIONS OF THE ACM 3.301 Impact Factor 70 citations
conference information
Papers relevant to ‘Computer science’: 24
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.
Cooperative Inverse Reinforcement Learning
2016/06 NEURIPS Top-tier Conference 365 citations
Robust Multi-Agent Reinforcement Learning via Minimax Deep Deterministic Policy Gradient
2019/07 AAAI Top-tier Conference 106 citations
Papers for author ‘Stuart J. Russell’: 24
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.
Cooperative Inverse Reinforcement Learning
2016/06 NEURIPS Top-tier Conference 365 citations
Robust Multi-Agent Reinforcement Learning via Minimax Deep Deterministic Policy Gradient
2019/07 AAAI Top-tier Conference 106 citations
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