Pablo Sprechmann

Research Scientist, DeepMind

Joined

September 2016

Names

Pablo Sprechmann (Preferred)

Emails

****@gmail.com (Confirmed)

****@nyu.edu (Confirmed)

****@google.com (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

Research Scientist

DeepMind (google.com)

2017 – Present

Postdoc

New York University (nyu.edu)

2014 – 2016

Advisors, Relations & Conflicts

Postdoc Advisor

Yann LeCun

2014 – 2016

PhD Advisor

Guillermo Sapiro

2009 – 2013

Expertise

representation learning

deep learning

sparse modeling

audio processing

computer vision

Present

Publications

Unlocking the Power of Representations in Long-term Novelty-based Exploration
Steven Kapturowski, Alaa Saade, Daniele Calandriello, Charles Blundell, Pablo Sprechmann, Leopoldo Sarra, Oliver Groth, Michal Valko, Bilal Piot
- ALOE 2023 Poster
- Readers: Everyone
Unlocking the Power of Representations in Long-term Novelty-based Exploration
Alaa Saade, Steven Kapturowski, Daniele Calandriello, Charles Blundell, Pablo Sprechmann, Leopoldo Sarra, Oliver Groth, Michal Valko, Bilal Piot
- ICLR 2024 spotlight
- Readers: Everyone
Robust Exploration via Clustering-based Online Density Estimation
Alaa Saade, Steven Kapturowski, Daniele Calandriello, Charles Blundell, Michal Valko, Pablo Sprechmann, Bilal Piot
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
Beyond Fine-Tuning: Transferring Behavior in Reinforcement Learning
Víctor Campos, Pablo Sprechmann, Steven Stenberg Hansen, Andre Barreto, Steven Kapturowski, Alex Vitvitskyi, Adria Puigdomenech Badia, Charles Blundell
- Published: 22 Jul 2021, Last Modified: 05 May 2023
- URL 2021 Poster
- Readers: Everyone
Beyond Fine-Tuning: Transferring Behavior in Reinforcement Learning
Víctor Campos, Pablo Sprechmann, Steven Stenberg Hansen, Andre Barreto, Steven Kapturowski, Alex Vitvitskyi, Adria Puigdomenech Badia, Charles Blundell
- 21 May 2021 (modified: 05 May 2023)
- NeurIPS 2021 Submitted
- Readers: Everyone
Coverage as a Principle for Discovering Transferable Behavior in Reinforcement Learning
Víctor Campos, Pablo Sprechmann, Steven Stenberg Hansen, Andre Barreto, Charles Blundell, Alex Vitvitskyi, Steven Kapturowski, Adria Puigdomenech Badia
- 28 Sept 2020 (modified: 05 May 2023)
- ICLR 2021 Conference Blind Submission
- Readers: Everyone
Temporal Difference Uncertainties as a Signal for Exploration
Sebastian Flennerhag, Jane X Wang, Pablo Sprechmann, Francesco Visin, Alexandre Galashov, Steven Kapturowski, Diana L Borsa, Nicolas Heess, Andre Barreto, Razvan Pascanu
- 28 Sept 2020 (modified: 12 Oct 2025)
- ICLR 2021 Conference Blind Submission
- Readers: Everyone
Agent57: Outperforming the Atari Human Benchmark
Adrià Puigdomènech Badia, Bilal Piot, Steven Kapturowski, Pablo Sprechmann, Alex Vitvitskyi, Daniel Guo, Charles Blundell
- 2020 (modified: 08 Nov 2022)
- CoRR 2020
- Readers: Everyone
Meta-learning of Sequential Strategies.
Pedro A. Ortega, Jane X. Wang, Mark Rowland, Tim Genewein, Zeb Kurth-Nelson, Razvan Pascanu, Nicolas Heess, Joel Veness, Alexander Pritzel, Pablo Sprechmann, Siddhant M. Jayakumar, Tom McGrath, Kevin Miller, Mohammad Gheshlaghi Azar, Ian Osband, Neil C. Rabinowitz, András György, Silvia Chiappa, Simon Osindero, Yee Whye Teh et al. (4 additional authors not shown)
- 2019 (modified: 09 Nov 2022)
- CoRR2019
- Readers: Everyone
Fast deep reinforcement learning using online adjustments from the past
Steven Hansen, Alexander Pritzel, Pablo Sprechmann, André Barreto, Charles Blundell
- 2018 (modified: 11 Nov 2022)
- NeurIPS 2018
- Readers: Everyone

View all 38 publications

Co-Authors

View all 89 co-authors