Erik Frey

Optimization & Training · 2021–2025

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Optimization & Training — 5 citations into it

Whom Erik Frey trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Paul J. Werbos
2. Tom Erez

Papers from Erik Frey's perspective

Ordered by how strongly the researchers Erik Frey trusts endorse each paper. Same corpus, a different order for every researcher.

1. MuJoCo: A physics engine for model-based control
2. Proximal Policy Optimization Algorithms (arXiv.org)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
5. ImageNet classification with deep convolutional neural networks
6. Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor (International Conference on Machine Learning)
7. Long Short-Term Memory
8. Grandmaster level in StarCraft II using multi-agent reinforcement learning
9. Reinforcement Learning: An Introduction
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Brax - A Differentiable Physics Engine for Large Scale Rigid Body Simulation (2021) — 578 citations
• Gemini Robotics: Bringing AI into the Physical World (2025) — 385 citations