Michael Luo
7 papers · 2020–2026 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(15)
Venues
Top co-authors
Research topics
Machine Learning
(6)
Reinforcement Learning
(3)
Methods
(3)
Optimization & Theory
(3)
Deep Learning
(2)
Application Areas
(2)
Learning Types · Machine Learning
(2)
Models
(2)
Artificial Intelligence
(1)
Computer Science
(1)
Computer Vision
(1)
Applications
(1)
Core AI
(1)
Generation
(1)
Learning Types · Deep Learning
(1)
Keywords
distributed reinforcement learning
(2)
reinforcement learning
(1)
sample efficiency
(1)
image generation
(1)
policy optimization
(1)
variational inference
(1)
policy gradient
(1)
pareto efficiency
(1)
importance sampling
(1)
optimal control
(1)
hyperparameter tuning
(1)
quadratic optimization
(1)
diffusion model
(1)
autoregressive model
(1)
language model
(1)
asynchronous training
(1)
first-order method
(1)
parallel computation
(1)
adapter selection
(1)
prompt matching
(1)
Papers
Agentix: An Efficient Serving Engine for LLM Agents as General Programs
NSDI 2026
Stylus: Automatic Adapter Selection for Diffusion Models
NeurIPS 2024
SkyPilot: An Intercloud Broker for Sky Computing
NSDI 2023
Accelerating Quadratic Optimization with Reinforcement Learning
NeurIPS 2021
Discovering Non-monotonic Autoregressive Orderings with Variational Inference
ICLR 2021
RLlib Flow: Distributed Reinforcement Learning is a Dataflow Problem
NeurIPS 2021
IMPACT: Importance Weighted Asynchronous Architectures with Clipped Target Networks
ICLR 2020