EPISODE · Sep 21, 2020 · 1H 25M
Aravind Srinivas
from TalkRL: The Reinforcement Learning Podcast · host Robin Ranjit Singh Chauhan
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
What this episode covers
Aravind Srinivas on his work including CPC v2, RAD, CURL, and SUNRISE, unsupervised learning, teaching a Berkeley course, and more!
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Aravind Srinivas
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