Reinforcement Learning Papers and Industry Developments

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