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Tianhe Yu — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Tianhe Yu
21
papers ·
1489
citations ·
25
h-index
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning
2019 · 282 citations
MOPO: Model-based Offline Policy Optimization
2020 · 218 citations
Gradient Surgery for Multi-Task Learning
2020 · 108 citations
COMBO: Conservative Offline Model-Based Policy Optimization
2021 · 52 citations
Generalizing Skills with Semi-Supervised Reinforcement Learning
2016 · 34 citations
Meta-Inverse Reinforcement Learning with Probabilistic Context Variables
2019 · 31 citations
Offline Reinforcement Learning from Images with Latent Space Models
2020 · 16 citations
Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions
2023 · 16 citations
Unsupervised Visuomotor Control through Distributional Planning Networks
2019 · 9 citations
Measuring and Harnessing Transference in Multi-Task Learning
2020 · 7 citations
Visual Adversarial Imitation Learning using Variational Models
2021 · 5 citations
How to Leverage Unlabeled Data in Offline Reinforcement Learning
2022 · 5 citations
Conservative Data Sharing for Multi-Task Offline Reinforcement Learning
2021 · 3 citations
Offline Reinforcement Learning at Multiple Frequencies
2022 · 1 citations
Contrastive Example-Based Control
2023
Top co-authors
Chelsea Finn
· 15
Sergey Levine
· 9
Karol Hausman
· 6
Aviral Kumar
· 4
Rafael Rafailov
· 4
Aravind Rajeswaran
· 3
Yevgen Chebotar
· 3
Lantao Yu
· 2
Stefano Ermon
· 2
Abhishek Gupta
· 1
Adithya Bellathur
· 1
Alexander Herzog
· 1
Topics
Offline RL
Model-Based RL
Meta-RL
Exploration
Multi-Agent
Value-Based
Policy Gradient