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Max Schwarzer — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Max Schwarzer
12
papers ·
184
citations ·
9
h-index
Université de Montréal
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Data-Efficient Reinforcement Learning with Self-Predictive Representations
2020 · 50 citations
Deep Reinforcement Learning at the Edge of the Statistical Precipice
2021 · 41 citations
Pretraining Representations for Data-Efficient Reinforcement Learning
2021 · 33 citations
The Primacy Bias in Deep Reinforcement Learning
2022 · 14 citations
Large Language Models as Generalizable Policies for Embodied Tasks
2023 · 7 citations
Reincarnating Reinforcement Learning: Reusing Prior Computation to Accelerate Progress
2022 · 6 citations
Competitive Programming with Large Reasoning Models
2025 · 5 citations
Bigger, Better, Faster: Human-level Atari with human-level efficiency
2023 · 5 citations
Top co-authors
Aaron Courville
· 6
Pablo Samuel Castro
· 3
Rishabh Agarwal
· 3
Ankesh Anand
· 2
Devon Hjelm
· 2
Marc G. Bellemare
· 2
Philip Bachman
· 2
Alexander Toshev
· 1
Alexander Wei
· 1
Andre Saraiva
· 1
Andrew Szot
· 1
Bogdan Mazoure
· 1
Topics
Game AI
Model-Based RL
Value-Based
Exploration
Meta-RL
RLHF & Alignment
Offline RL
Policy Gradient
Safe RL