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Aravind Srinivas
Researcher, OpenAI
Joined
September 2018
Names
Aravind Srinivas
(Preferred)
,
Aravind Lakshminarayanan
,
Aravind S. Lakshminarayanan
Emails
****@gmail.com
(Confirmed)
,
****@berkeley.edu
(Confirmed)
,
****@cs.berkeley.edu
(Confirmed)
,
****@google.com
(Confirmed)
,
****@google.com
(Confirmed)
,
****@openai.com
(Confirmed)
Personal Links
Homepage
Google Scholar
DBLP
Career & Education History
Researcher
OpenAI
(openai.com)
2021
–
Present
PhD student
University of California Berkeley
(berkeley.edu)
2017
–
2021
Intern
Google
(google.com)
2019
–
2020
Intern
University of Montreal
(umontreal.ca)
2016
–
2017
Advisors, Relations & Conflicts
PhD Advisor
Pieter Abbeel
2017
–
2021
Expertise
contrastive learning
,
unsupervised representation learning
2019
–
Present
computer vision
2019
–
Present
Publications
Decision Transformer: Reinforcement Learning via Sequence Modeling
Lili Chen
,
Kevin Lu
,
Aravind Rajeswaran
,
Kimin Lee
,
Aditya Grover
,
Michael Laskin
,
Pieter Abbeel
,
Aravind Srinivas
,
Igor Mordatch
Published: 22 Jul 2021, Last Modified: 30 Dec 2025
URL 2021 Poster
Readers:
Everyone
Revisiting ResNets: Improved Training and Scaling Strategies
Irwan Bello
,
William Fedus
,
Xianzhi Du
,
Ekin Dogus Cubuk
,
Aravind Srinivas
,
Tsung-Yi Lin
,
Jonathon Shlens
,
Barret Zoph
Published: 09 Nov 2021, Last Modified: 26 May 2025
NeurIPS 2021 Spotlight
Readers:
Everyone
Reinforcement Learning with Latent Flow
Wenling Shang
,
Xiaofei Wang
,
Aravind Srinivas
,
Aravind Rajeswaran
,
Yang Gao
,
Pieter Abbeel
,
Michael Laskin
Published: 09 Nov 2021, Last Modified: 26 May 2025
NeurIPS 2021 Poster
Readers:
Everyone
Decision Transformer: Reinforcement Learning via Sequence Modeling
Lili Chen
,
Kevin Lu
,
Aravind Rajeswaran
,
Kimin Lee
,
Aditya Grover
,
Michael Laskin
,
Pieter Abbeel
,
Aravind Srinivas
,
Igor Mordatch
Published: 09 Nov 2021, Last Modified: 26 May 2025
NeurIPS 2021 Poster
Readers:
Everyone
Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings
Lili Chen
,
Kimin Lee
,
Aravind Srinivas
,
Pieter Abbeel
Published: 09 Nov 2021, Last Modified: 26 May 2025
NeurIPS 2021 Poster
Readers:
Everyone
VideoGen: Generative Modeling of Videos using VQ-VAE and Transformers
Yunzhi Zhang
,
Wilson Yan
,
Pieter Abbeel
,
Aravind Srinivas
28 Sept 2020 (modified: 05 May 2023)
ICLR 2021 Conference Blind Submission
Readers:
Everyone
R-LAtte: Attention Module for Visual Control via Reinforcement Learning
Mandi Zhao
,
Qiyang Li
,
Aravind Srinivas
,
Ignasi Clavera
,
Kimin Lee
,
Pieter Abbeel
28 Sept 2020 (modified: 05 May 2023)
ICLR 2021 Conference Blind Submission
Readers:
Everyone
Weighted Bellman Backups for Improved Signal-to-Noise in Q-Updates
Kimin Lee
,
Michael Laskin
,
Aravind Srinivas
,
Pieter Abbeel
28 Sept 2020 (modified: 05 May 2023)
ICLR 2021 Conference Blind Submission
Readers:
Everyone
Reinforcement Learning with Latent Flow
Wenling Shang
,
Xiaofei Wang
,
Aravind Rajeswaran
,
Aravind Srinivas
,
Yang Gao
,
Pieter Abbeel
,
Michael Laskin
28 Sept 2020 (modified: 12 Oct 2025)
ICLR 2021 Conference Blind Submission
Readers:
Everyone
Compute- and Memory-Efficient Reinforcement Learning with Latent Experience Replay
Lili Chen
,
Kimin Lee
,
Aravind Srinivas
,
Pieter Abbeel
28 Sept 2020 (modified: 05 May 2023)
ICLR 2021 Conference Blind Submission
Readers:
Everyone
View all 19 publications
Co-Authors
Adam Stooke
Aditya Grover
Allan Jabri
Amulya Yadav
Animesh Garg
Aravind Rajeswaran
Balaraman Ravindran
Barret Zoph
Chelsea Finn
Colorado Reed
Ekin Dogus Cubuk
Homanga Bharadhwaj
Ignasi Clavera
Igor Mordatch
Irwan Bello
Jonathan Ho
Jonathon Shlens
Kevin Lu
Kimin Lee
Kurt Keutzer
Leandro Soriano Marcolino
Lerrel Pinto
Lili Chen
Mandi Zhao
Michael Laskin
View all 43 co-authors