Cong Lu
12 papers · 2021–2025 · 5 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (24) π Interdisciplinary Bridge π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (5)
π
Cross-Pollinator
(8)
π
Renaissance Researcher
(6)
π
Century Club
(12)
β‘
Prolific Year
(5)
π₯
Unstoppable
(5)
Conferences
NIPS (4)
ICLR (3)
ICML (3)
AUTOML (1)
JMLR (1)
Top co-authors
Keywords
offline reinforcement learning
(3)
diffusion model
(2)
reinforcement learning
(2)
model-based reinforcement learning
(2)
world model
(2)
dynamics model
(2)
imitation learning
(1)
approximate inference
(1)
zero-shot learning
(1)
kernel design
(1)
data augmentation
(1)
neural architecture search
(1)
embodied ai
(1)
exploration exploitation tradeoff
(1)
hyperparameter optimization
(1)
bayesian optimization
(1)
high-dimensional optimization
(1)
variational inference
(1)
value estimation
(1)
value function approximation
(1)
Papers
Intelligent Go-Explore: Standing on the Shoulders of Giant Foundation Models
ICLR 2025
Automated Design of Agentic Systems
ICLR 2025
Pre-trained Text-to-Image Diffusion Models Are Versatile Representation Learners for Control
NIPS 2024
The Edge-of-Reach Problem in Offline Model-Based Reinforcement Learning
NIPS 2024
Synthetic Experience Replay
NIPS 2023
Bayesian Generational Population-Based Training
AUTOML 2022
Revisiting Design Choices in Offline Model Based Reinforcement Learning
ICLR 2022
VariBAD: Variational Bayes-Adaptive Deep RL via Meta-Learning
JMLR 2021
Augmented World Models Facilitate Zero-Shot Dynamics Generalization From a Single Offline Environment
ICML 2021
Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces
ICML 2021
Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning
ICML 2021
On Pathologies in KL-Regularized Reinforcement Learning from Expert Demonstrations
NIPS 2021