Cong Lu
12 papers · 2021–2025 · 5 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
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π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (27) π Conference Polyglot Β· Silver π£ Hot Topic Early Bird ποΈ Keyword Collector (62)
π
Renaissance Researcher
(5)
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
Top co-authors
Research topics
Reinforcement Learning
(8)
Methods
(8)
Machine Learning
(7)
Artificial Intelligence
(6)
Deep Learning
(4)
Learning Paradigms
(4)
Learning Types Β· Machine Learning
(4)
Core AI
(3)
Learning Types Β· Deep Learning
(3)
Models
(2)
Optimization & Theory
(2)
Computer Vision
(1)
Mathematics & Optimization
(1)
Robotics
(1)
Application Areas
(1)
Keywords
offline reinforcement learning
(4)
dynamics model
(3)
model-based reinforcement learning
(3)
foundation model
(2)
diffusion model
(2)
bayesian optimization
(2)
reinforcement learning
(2)
world model
(2)
imitation learning
(1)
data augmentation
(1)
approximate inference
(1)
prompt engineering
(1)
neural architecture search
(1)
embodied ai
(1)
zero-shot learning
(1)
kernel design
(1)
exploration
(1)
hyperparameter optimization
(1)
value function approximation
(1)
variational inference
(1)
Papers
Automated Design of Agentic Systems
ICLR 2025
Intelligent Go-Explore: Standing on the Shoulders of Giant Foundation Models
ICLR 2025
Pre-trained Text-to-Image Diffusion Models Are Versatile Representation Learners for Control
NeurIPS 2024
The Edge-of-Reach Problem in Offline Model-Based Reinforcement Learning
NeurIPS 2024
Synthetic Experience Replay
NeurIPS 2023
Bayesian Generational Population-Based Training
AutoML 2022
Revisiting Design Choices in Offline Model Based Reinforcement Learning
ICLR 2022
Augmented World Models Facilitate Zero-Shot Dynamics Generalization From a Single Offline Environment
ICML 2021
Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning
ICML 2021
On Pathologies in KL-Regularized Reinforcement Learning from Expert Demonstrations
NeurIPS 2021
Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces
ICML 2021
VariBAD: Variational Bayes-Adaptive Deep RL via Meta-Learning
JMLR 2021