Bryan Lim
6 papers · 2018–2024 · 6 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (15) 🐣 Hot Topic Early Bird
🌈
Renaissance Researcher
(5)
Top co-authors
Research topics
Machine Learning
(6)
Learning Types
(4)
Artificial Intelligence
(3)
Core AI
(3)
Reinforcement Learning
(2)
Computer Vision
(1)
Data Science & Analytics
(1)
Deep Learning
(1)
Mathematics & Optimization
(1)
Analysis
(1)
Applications · Data Science & Analytics
(1)
Applications · Reinforcement Learning
(1)
Architectures
(1)
Core Methods
(1)
Methods
(1)
Keywords
reinforcement learning
(3)
pose estimation
(1)
hierarchical planning
(1)
continuous control
(1)
skill discovery
(1)
joint modeling
(1)
recurrent neural network
(1)
deep neural network
(1)
return distribution
(1)
evolutionary algorithm
(1)
electronic health record
(1)
hardware acceleration
(1)
quality-diversity optimization
(1)
observational data
(1)
tactile sensing
(1)
time-to-event data
(1)
longitudinal data
(1)
quality diversity
(1)
uncertain environment
(1)
bayesian optimisation
(1)
Papers
Beyond Expected Return: Accounting for Policy Reproducibility When Evaluating Reinforcement Learning Algorithms
AAAI 2024
QDax: A Library for Quality-Diversity and Population-based Algorithms with Hardware Acceleration
JMLR 2024
Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery
ICLR 2023
Tactile Object Pose Estimation from the First Touch with Geometric Contact Rendering
CoRL 2020
Disease-Atlas: Navigating Disease Trajectories using Deep Learning
MLHC 2018
Forecasting Treatment Responses Over Time Using Recurrent Marginal Structural Networks
NeurIPS 2018