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Aaron Courville — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Aaron Courville
71
papers ·
3274
citations ·
78
h-index
Université de Montréal
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
An Actor-Critic Algorithm for Sequence Prediction
2016 · 224 citations
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
No Press Diplomacy: Modeling Multi-Agent Gameplay
2019 · 15 citations
The Primacy Bias in Deep Reinforcement Learning
2022 · 14 citations
Continuous Coordination As a Realistic Scenario for Lifelong Learning
2021 · 7 citations
DR3: Value-Based Deep Reinforcement Learning Requires Explicit Regularization
2021 · 6 citations
Reincarnating Reinforcement Learning: Reusing Prior Computation to Accelerate Progress
2022 · 6 citations
Mastering the Unsupervised Reinforcement Learning Benchmark from Pixels
2022 · 5 citations
Bigger, Better, Faster: Human-level Atari with human-level efficiency
2023 · 5 citations
Generative Augmented Flow Networks
2022 · 2 citations
GenRL: Multimodal-foundation world models for generalization in embodied agents
2024 · 2 citations
Advantage Alignment Algorithms
2024 · 1 citations
Latent State Marginalization as a Low-cost Approach for Improving Exploration
2022 · 1 citations
Top co-authors
Pablo Samuel Castro
· 12
Johan Obando-Ceron
· 11
Max Schwarzer
· 6
Milad Aghajohari
· 5
Rishabh Agarwal
· 4
Yoshua Bengio
· 4
Jiashun Liu
· 3
Juan Agustin Duque
· 3
Ling Pan
· 3
Tim Cooijmans
· 3
Alessandro Sordoni
· 2
Amirhossein Kazemnejad
· 2
Topics
Value-Based
Model-Based RL
Policy Gradient
Game AI
Multi-Agent
Exploration
RLHF & Alignment
Offline RL
Meta-RL
Safe RL