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Olivier Bachem — most-cited papers & profile · AI Agents
← authors
·
overview
Olivier Bachem
20
papers ·
611
citations ·
29
h-index
ETH Zurich
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Assessing Generative Models via Precision and Recall
2018 · 174 citations
What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study
2020 · 105 citations
High-Fidelity Image Generation With Fewer Labels
2019 · 95 citations
Brax -- A Differentiable Physics Engine for Large Scale Rigid Body Simulation
2021 · 62 citations
Disentangling Factors of Variation Using Few Labels
2019 · 51 citations
Concave Utility Reinforcement Learning: the Mean-Field Game Viewpoint
2021 · 9 citations
The Role of Pretrained Representations for the OOD Generalization of Reinforcement Learning Agents
2021 · 3 citations
A general class of surrogate functions for stable and efficient reinforcement learning
2021 · 3 citations
WARM: On the Benefits of Weight Averaged Reward Models
2024 · 3 citations
WARM: On the Benefits of Weight Averaged Reward Models
2024 · 3 citations
Braxlines: Fast and Interactive Toolkit for RL-driven Behavior Engineering beyond Reward Maximization
2021 · 1 citations
Nash Learning from Human Feedback
2023 · 1 citations
WARP: On the Benefits of Weight Averaged Rewarded Policies
2024 · 1 citations
WARP: On the Benefits of Weight Averaged Rewarded Policies
2024 · 1 citations
Imitating Language via Scalable Inverse Reinforcement Learning
2024 · 1 citations
Top co-authors
Andrea Dittadi
· 1
Bernhard Sch\"olkopf
· 1
Felix Widmaier
· 1
Francesco Locatello
· 1
Frederik Tr\"auble
· 1
Manuel W\"uthrich
· 1
Ole Winther
· 1
Peter Gehler
· 1
Stefan Bauer
· 1
Topics
Policy Gradient
Exploration
Model-Based RL
Safe RL
RLHF & Alignment
GANs
eess.SP
stat.ML
Game AI
Offline RL