Eric Liang
9 papers · 2018–2023 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (10) π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π Conference Polyglot Β· Silver π£ Hot Topic Early Bird
π
Keyword Champion
(2)
ποΈ
Keyword Collector
(51)
Top co-authors
Research topics
Keywords
distributed reinforcement learning
(3)
distributed computing
(2)
reinforcement learning
(2)
policy optimization
(2)
parallel computation
(2)
fault tolerance
(2)
density estimation
(1)
autoregressive model
(1)
sample efficiency
(1)
importance sampling
(1)
approximate inference
(1)
asynchronous training
(1)
autonomous vehicle
(1)
exactly-once semantics
(1)
distributed transaction
(1)
task graph
(1)
data augmentation
(1)
task parallel computation
(1)
actor model
(1)
neural network training
(1)
Papers
ExoFlow: A Universal Workflow System for Exactly-Once DAGs
OSDI 2023
Ownership: A Distributed Futures System for Fine-Grained Tasks
NSDI 2021
RLlib Flow: Distributed Reinforcement Learning is a Dataflow Problem
NeurIPS 2021
IMPACT: Importance Weighted Asynchronous Architectures with Clipped Target Networks
ICLR 2020
Variable Skipping for Autoregressive Range Density Estimation
ICML 2020
Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules
ICML 2019
Benchmarks for reinforcement learning in mixed-autonomy traffic
CoRL 2018
Ray: A Distributed Framework for Emerging AI Applications
OSDI 2018
RLlib: Abstractions for Distributed Reinforcement Learning
ICML 2018