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Eric Liang — most-cited papers & profile · Reinforcement Learning
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Eric Liang
7
papers ·
855
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
RLlib: Abstractions for Distributed Reinforcement Learning
2017 · 332 citations
Ray: A Distributed Framework for Emerging AI Applications
2017 · 253 citations
IMPACT: Importance Weighted Asynchronous Architectures with Clipped Target Networks
2019 · 8 citations
Neural Packet Classification
2019 · 5 citations
RLlib Flow: Distributed Reinforcement Learning is a Dataflow Problem
2020 · 4 citations
Hoplite: Efficient and Fault-Tolerant Collective Communication for Task-Based Distributed Systems
2020
Top co-authors
Ion Stoica
· 5
Philipp Moritz
· 3
Richard Liaw
· 3
Robert Nishihara
· 3
Michael I. Jordan
· 2
Michael Luo
· 2
Stephanie Wang
· 2
Alexey Tumanov
· 1
Danyang Zhuo
· 1
Hang Zhu
· 1
Ion Stoica
· 1
Jiahao Yao
· 1
Topics
Value-Based
Multi-Agent
Policy Gradient
Model-Based RL
Exploration