Sample-efficient Policy Learning

Sample-Efficient Policy Learning is a policy learning approach that belongs to the class of reinforcement learning methods, distinguished by its ability to achieve high-performance policies with a significantly reduced number of environment interactions compared to standard policy learning techniques.

178

Publications

Citations

589

Authors

143

Institutions

Publications per year

2017–2026

157

Parents

Policy Learning

Publications

178

The Surprising Effectiveness of PPO in Cooperative, Multi-Agent Games

Chao Yu, Akash Velu, Eugene Vinitsky et al. · arXiv (Cornell University) · 2021 · 594 citations · Full text

Computing, Computer Science, Algorithms +14

Is Q-learning Provably Efficient?

Chi Jin, Zeyuan Allen-Zhu, Sébastien Bubeck et al. · arXiv (Cornell University) · 2018 · 338 citations · Full text

Computing, Computer Science, Artificial Intelligence +14

Learning to Adapt in Dynamic, Real-World Environments Through\n Meta-Reinforcement Learning

Anusha Nagabandi, Ignasi Clavera, Simin Liu et al. · arXiv (Cornell University) · 2018 · 300 citations · Full text

Engineering, Autonomous Systems, Computer Science +17

Benchmarking Model-Based Reinforcement Learning

Tingwu Wang, Xuchan Bao, Ignasi Clavera et al. · arXiv (Cornell University) · 2019 · 242 citations · Full text

Computing, Computer Science, Algorithms +12

Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction

Aviral Kumar, Justin Fu, George Tucker et al. · arXiv (Cornell University) · 2019 · 235 citations · Full text

Computing, Decision Sciences, Machine Learning +14

1–5 of 178

Authors

589

PA
Pieter Abbeel
University of California, Berkeley, United States
14 publications · 1.4K citations
13
h-index
SL
Sergey Levine
University of California, Berkeley, United States
10 publications · 1.3K citations
10
h-index
RM
Rémi Munos
Google (United States), United States
6 publications · 553 citations
6
h-index
IC
Ignasi Clavera
University of California, Berkeley, United States
5 publications · 727 citations
5
h-index
JS
John Schulman
University of California, Berkeley, United States
5 publications · 498 citations
5
h-index

1–5 of 589

Institutions

143

1–8 of 143

Venues

arXiv (Cornell University)
Repository · 95 publications · 5.3K citations
34
h-index
Proceedings of the AAAI Conference on Artificial Intelligence
Conference · 11 publications · 440 citations
10
h-index
International Conference on Machine Learning
Conference · 6 publications · 166 citations
6
h-index
International Conference on Learning Representations
Conference · 4 publications · 160 citations
4
h-index
IEEE Robotics and Automation Letters
3 publications · 251 citations
3
h-index

1–5