Emilio Parisotto

PhD student, School of Computer Science, Carnegie Mellon University

PhD student, Department of Computer Science, University of Toronto

Joined

November 2016

Names

Emilio Parisotto (Preferred)

Emails

****@andrew.cmu.edu (Confirmed)

****@cs.cmu.edu (Confirmed)

****@google.com (Confirmed)

Personal Links

DBLP

Career & Education History

PhD student

School of Computer Science, Carnegie Mellon University (cs.cmu.edu)

Present

PhD student

Department of Computer Science, University of Toronto (cs.toronto.edu)

Present

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

RoboCat: A Self-Improving Generalist Agent for Robotic Manipulation
Konstantinos Bousmalis, Giulia Vezzani, Dushyant Rao, Coline Manon Devin, Alex X. Lee, Maria Bauza Villalonga, Todor Davchev, Yuxiang Zhou, Agrim Gupta, Akhil Raju, Antoine Laurens, Claudio Fantacci, Valentin Dalibard, Martina Zambelli, Murilo Fernandes Martins, Rugile Pevceviciute, Michiel Blokzijl, Misha Denil, Nathan Batchelor, Thomas Lampe et al. (19 additional authors not shown)
- Accepted by TMLR
- Readers: Everyone
Structured State Space Models for In-Context Reinforcement Learning
Chris Lu, Yannick Schroecker, Albert Gu, Emilio Parisotto, Jakob Nicolaus Foerster, Satinder Singh, Feryal Behbahani
- Frontiers4LCD
- Readers: Everyone
Structured State Space Models for In-Context Reinforcement Learning
Chris Lu, Yannick Schroecker, Albert Gu, Emilio Parisotto, Jakob Nicolaus Foerster, Satinder Singh, Feryal Behbahani
- NeurIPS 2023 poster
- Readers: Everyone
In-context Reinforcement Learning with Algorithm Distillation
Michael Laskin, Luyu Wang, Junhyuk Oh, Emilio Parisotto, Stephen Spencer, Richie Steigerwald, DJ Strouse, Steven Stenberg Hansen, Angelos Filos, Ethan Brooks, Maxime Gazeau, Himanshu Sahni, Satinder Singh, Volodymyr Mnih
- 08 Oct 2022 (modified: 05 May 2023)
- Deep RL Workshop 2022
- Readers: Everyone
In-context Reinforcement Learning with Algorithm Distillation
Michael Laskin, Luyu Wang, Junhyuk Oh, Emilio Parisotto, Stephen Spencer, Richie Steigerwald, DJ Strouse, Steven Stenberg Hansen, Angelos Filos, Ethan Brooks, Maxime Gazeau, Himanshu Sahni, Satinder Singh, Volodymyr Mnih
- 05 Oct 2022 (modified: 05 May 2023)
- FMDM@NeurIPS2022
- Readers: Everyone
In-context Reinforcement Learning with Algorithm Distillation
Michael Laskin, Luyu Wang, Junhyuk Oh, Emilio Parisotto, Stephen Spencer, Richie Steigerwald, DJ Strouse, Steven Stenberg Hansen, Angelos Filos, Ethan Brooks, maxime gazeau, Himanshu Sahni, Satinder Singh, Volodymyr Mnih
- Published: 01 Feb 2023, Last Modified: 27 Feb 2023
- ICLR 2023 notable top 5%
- Readers: Everyone
A Generalist Agent
Scott Reed, Konrad Zolna, Emilio Parisotto, Sergio Gómez Colmenarejo, Alexander Novikov, Gabriel Barth-maron, Mai Giménez, Yury Sulsky, Jackie Kay, Jost Tobias Springenberg, Tom Eccles, Jake Bruce, Ali Razavi, Ashley Edwards, Nicolas Heess, Yutian Chen, Raia Hadsell, Oriol Vinyals, Mahyar Bordbar, Nando de Freitas
- Accepted by TMLR
- Readers: Everyone
On Proximal Policy Optimization's Heavy-Tailed Gradients
Saurabh Garg, Joshua Zhanson, Emilio Parisotto, Adarsh Prasad, J Zico Kolter, Zachary Chase Lipton, Sivaraman Balakrishnan, Ruslan Salakhutdinov, Pradeep Kumar Ravikumar
- 28 Sept 2020 (modified: 05 May 2023)
- ICLR 2021 Conference Blind Submission
- Readers: Everyone
Efficient Transformers in Reinforcement Learning using Actor-Learner Distillation
Emilio Parisotto, Russ Salakhutdinov
- Published: 12 Jan 2021, Last Modified: 05 May 2023
- ICLR 2021 Poster
- Readers: Everyone
Gated Path Planning Networks
Lisa Lee, Emilio Parisotto, Devendra Singh Chaplot, Eric Xing, Ruslan Salakhutdinov
- 2018 (modified: 11 Nov 2022)
- ICML 2018
- Readers: Everyone

View all 11 publications

Co-Authors

View all 83 co-authors