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Aravind Srinivas

Aravind Srinivas


Episode 14


Aravind Srinivas is a 3rd year PhD student at UC Berkeley advised by Prof. Abbeel. 
He co-created and co-taught a grad course on Deep Unsupervised Learning at Berkeley. 


Featured References 

Data-Effici…


Published on 5 years, 3 months ago

Taylor Killian

Taylor Killian


Episode 13


Taylor Killian is a Ph.D. student at the University of Toronto and the Vector Institute, and an Intern at Google Brain.

Featured References 

Direct Policy Transfer with Hidden Parameter Markov Decisio…


Published on 5 years, 4 months ago

Nan Jiang

Nan Jiang


Episode 12


Nan Jiang is an Assistant Professor of Computer Science at University of Illinois.  He was a Postdoc Microsoft Research, and did his PhD at University of Michigan under Professor Satinder Singh. 


Feat…


Published on 5 years, 5 months ago

Danijar Hafner

Danijar Hafner


Episode 11


Danijar Hafner is a PhD student at the University of Toronto, and a student researcher at Google Research, Brain Team and the Vector Institute.  He holds a Masters of Research from University College…


Published on 5 years, 7 months ago

Csaba Szepesvari

Csaba Szepesvari


Episode 10


Csaba Szepesvari is: 

Head of the Foundations Team at DeepMind Professor of Computer Science at the University of Alberta Canada CIFAR AI Chair Fellow at the Alberta Machine Intelligence Institute  Co…


Published on 5 years, 9 months ago

Ben Eysenbach

Ben Eysenbach


Episode 9


Ben Eysenbach is a PhD student in the Machine Learning Department at Carnegie Mellon University.  He was a Resident at Google Brain, and studied math and computer science at MIT. He co-founded the IC…


Published on 5 years, 9 months ago

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NeurIPS 2019 Deep RL Workshop


Episode 8


Thank you to all the presenters that participated.  I covered as many as I could given the time and crowds, if you were not included and wish to be, please email talkrl@pathwayi.com 

More details on t…


Published on 6 years ago

Scott Fujimoto

Scott Fujimoto


Episode 7


Scott Fujimoto is a PhD student at McGill University and Mila. He is the author of TD3 as well as some of the recent developments in batch deep reinforcement learning.  

Featured References 

Addressing…


Published on 6 years, 1 month ago

Jessica Hamrick

Jessica Hamrick


Episode 6


Dr. Jessica Hamrick is a Research Scientist at DeepMind. She holds a PhD in Psychology from UC Berkeley. 


Featured References 

Structured agents for physical construction 
Victor Bapst, Alvaro Sanchez-G…


Published on 6 years, 1 month ago

Pablo Samuel Castro

Pablo Samuel Castro


Episode 5


Dr Pablo Samuel Castro is a Staff Research Software Engineer at Google Brain.  He is the main author of the Dopamine RL framework. 


Featured References 

A Comparative Analysis of Expected and Distribut…


Published on 6 years, 2 months ago





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