Aravind Srinivas
Aravind Srinivas on his work including CPC v2, RAD, CURL, and SUNRISE, unsupervised learning, teaching a Berkeley course, and more!
TalkRL: The Reinforcement Learning Podcast
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Show Notes
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-Efficient Image Recognition with Contrastive Predictive Coding
Olivier J. Hénaff, Aravind Srinivas, Jeffrey De Fauw, Ali Razavi, Carl Doersch, S. M. Ali Eslami, Aaron van den Oord
Contrastive Unsupervised Representations for Reinforcement Learning
Aravind Srinivas, Michael Laskin, Pieter Abbeel
Reinforcement Learning with Augmented Data
Michael Laskin, Kimin Lee, Adam Stooke, Lerrel Pinto, Pieter Abbeel, Aravind Srinivas
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning
Kimin Lee, Michael Laskin, Aravind Srinivas, Pieter Abbeel
Additional References
- CS294-158-SP20 Deep Unsupervised Learning, Berkeley
- Phasic Policy Gradient, Karl Cobbe, Jacob Hilton, Oleg Klimov, John Schulman
- Bootstrap your own latent: A new approach to self-supervised Learning , Grill et al 2020