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Benjamin Eysenbach — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Benjamin Eysenbach
53
papers ·
677
citations ·
19
h-index
Princeton University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Diversity is All You Need: Learning Skills without a Reward Function
2018 · 97 citations
Efficient Exploration via State Marginal Matching
2019 · 97 citations
Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings
2018 · 68 citations
Unsupervised Meta-Learning for Reinforcement Learning
2018 · 57 citations
Search on the Replay Buffer: Bridging Planning and Reinforcement Learning
2019 · 39 citations
If MaxEnt RL is the Answer, What is the Question?
2019 · 32 citations
Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement
2020 · 30 citations
Learning to Reach Goals via Iterated Supervised Learning
2019 · 29 citations
Maximum Entropy RL (Provably) Solves Some Robust RL Problems
2021 · 28 citations
Learning to be Safe: Deep RL with a Safety Critic
2020 · 26 citations
Leave no Trace: Learning to Reset for Safe and Autonomous Reinforcement Learning
2017 · 25 citations
Contrastive Learning as Goal-Conditioned Reinforcement Learning
2022 · 24 citations
Model-Based Visual Planning with Self-Supervised Functional Distances
2020 · 17 citations
Off-Dynamics Reinforcement Learning: Training for Transfer with Domain Classifiers
2020 · 15 citations
Robust Predictable Control
2021 · 12 citations
Top co-authors
Sergey Levine
· 31
Ruslan Salakhutdinov
· 14
Chelsea Finn
· 8
Chongyi Zheng
· 5
Abhishek Gupta
· 4
Seohong Park
· 4
Vivek Myers
· 4
Anca Dragan
· 3
Lisa Lee
· 3
Tianwei Ni
· 3
and Ruslan Salakhutdinov
· 2
Dibya Ghosh
· 2
Topics
Model-Based RL
Offline RL
Exploration
Meta-RL
Value-Based
Safe RL
Policy Gradient
Multi-Agent
Game AI
RLHF & Alignment