Emanuel Todorov is affiliated with the University of Washington in the United States. Their research work is primarily within the field of Computer Science, with a focus on several subfields including Computational Theory and Mathematics, Artificial Intelligence, Control and Systems Engineering, and Numerical Analysis.
Their publications frequently appear in the venue arXiv (Cornell University), with multiple papers released in recent years. Notable recent papers include:
Todorov's research topics span across Reinforcement Learning in Robotics, Advanced Control Systems Optimization, Formal Methods in Verification, Advanced Optimization Algorithms Research, Numerical Methods and Algorithms, and Complexity and Algorithms in Graphs.
The scientist has collaborated with multiple frequent coauthors, including:
In 2004, Emanuel Todorov was recognized as a Fellow of the Alfred P. Sloan Foundation, an award that marks a significant point in their career.
Emanuel Todorov;Tom Erez;Yuval Tassa
Emanuel Todorov;Michael I. Jordan
Emanuel Todorov
Yuval Tassa;Tom Erez;Emanuel Todorov
Aravind Rajeswaran;Vikash Kumar;Abhishek Gupta;Giulia Vezzani
E. Todorov;Weiwei Li
Weiwei Li;Emanuel Todorov
Igor Mordatch;Emanuel Todorov;Zoran Popović
Emanuel Todorov
Dan Liu;Emanuel Todorov
Emanuel Todorov
Emanuel Todorov
Emanuel Todorov
Emanuel Todorov;Reza Shadmehr;Emilio Bizzi
Tom Erez;Yuval Tassa;Emanuel Todorov
Emanuel Todorov;Michael I. Jordan
E. Todorov
Zhe Xu;Emanuel Todorov
Francisco J. Valero-Cuevas;Madhusudhan Venkadesan;Emanuel Todorov
Emanuel Todorov
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