Max Schwarzer

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Bio

I believe that self-supervised representation learning and exploration together have the potential to let deep reinforcement learning match or surpass human sample efficiency, even in challenging vision-based problems.

Research Interests

Papers共 23 篇Author StatisticsCo-AuthorSimilar Experts

By YearBy Citation主题筛选期刊级别筛选合作者筛选合作机构筛选

Large Language Models As Generalizable Policies for Embodied Tasks

Andrew Szot,Max Schwarzer,Harsh Agrawal,Bogdan Mazoure, Rin Metcalf,Walter Talbott, Natalie Mackraz,R Devon Hjelm,Alexander T Toshev

ICLR 2024 (2024)

Cited19Views0EIBibtex

MM1: Methods, Analysis Insights from Multimodal LLM Pre-training

Brandon McKinzie,Zhe Gan,Jean-Philippe Fauconnier, Samuel Dodge,Bowen Zhang,Philipp Dufter,Dhruti Shah,Futang Peng, Anton Belyi,Max A Schwarzer,Hongyu Hè,Xianzhi Du,Haotian Zhang, Karanjeet Singh, Doug Kang,Tom Gunter, Xiang Kong,Aonan Zhang, Jianyu Wang,Chong Wang,Nan Du, Tao Lei,Sam Wiseman, Mark Lee,Zirui Wang,Ruoming Pang,Peter Grasch,Alexander Toshev,Yinfei Yang

ECCV 2024（2024）

Cited124Views0EIBibtex

124

The Position Dependence of Electron Beam Induced Effects in 2D Materials with Deep Neural Networks

Kevin M Roccapriore,Max Schwarzer,Joshua Greaves,Jesse Farebrother,Riccardo Torsi,Rishabh Agarwal, Colton Bishop,Igor Mordatch,Ekin D Cubuk,Aaron Courville,Marc G Bellemare,Joshua Robinson,Pablo Samuel Castro,Sergei V Kalinin

Microscopy and Microanalysis（2024）

Cited0Views0Bibtex

Discovering the Electron Beam Induced Transition Rates for Silicon Dopants in Graphene with Deep Neural Networks in the STEM

Kevin M Roccapriore,Max Schwarzer,Joshua Greaves,Jesse Farebrother,Rishabh Agarwal, Colton Bishop,Maxim Ziatdinov,Igor Mordatch,Ekin D Cubuk,Aaron Courville,Pablo Samuel Castro,Marc G Bellemare,Sergei V Kalinin

Microscopy and Microanalysisno. Supplement_1 (2023): 1932-1933

Cited0Views0WOSBibtex

Learning and Controlling Silicon Dopant Transitions in Graphene Using Scanning Transmission Electron Microscopy

Max Schwarzer,Jesse Farebrother,Joshua Greaves,Ekin Dogus Cubuk,Rishabh Agarwal,Aaron Courville,Marc G. Bellemare,Sergei Kalinin,Igor Mordatch,Pablo Samuel Castro,Kevin M. Roccapriore

arXiv (Cornell University) (2023)

Cited0Views0EIBibtex

Bigger, Better, Faster: Human-level Atari with Human-Level Efficiency

Max Schwarzer,Johan Obando Ceron,Aaron Courville,Marc Bellemare,Rishabh Agarwal,Pablo Samuel Castro

ICML 2023（2023）

Cited25Views0EIBibtex

Sample-Efficient Reinforcement Learning by Breaking the Replay Ratio Barrier

Pierluca D'Oro,Max Schwarzer,Evgenii Nikishin,Pierre-Luc Bacon,Marc G Bellemare,Aaron Courville

ICLR 2023（2023）

Cited87Views0EIBibtex

Simplicial Embeddings in Self-Supervised Learning and Downstream Classification

Samuel Lavoie,Christos Tsirigotis,Max Schwarzer,Ankit Vani,Michael Noukhovitch,Kenji Kawaguchi,Aaron Courville

ICLR 2023（2023）

Cited9Views0EIBibtex

Reincarnating Reinforcement Learning: Reusing Prior Computation to Accelerate Progress

Rishabh Agarwal,Max Schwarzer,Pablo Samuel Castro,Aaron Courville,Marc G Bellemare

NEURIPS 2022（2022）

Cited24Views0EIBibtex

The Primacy Bias in Deep Reinforcement Learning

Evgenii Nikishin,Max Schwarzer,Pierluca D'Oro,Pierre-Luc Bacon,Aaron Courville

International Conference on Machine Learning（2022）

Cited80Views0EIBibtex

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Ph.D

Papers共 23 篇Author StatisticsCo-AuthorSimilar Experts