Bryan Lim
6 papers · 2018–2024 · 6 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (6) π Academic Marathon (6) π Renaissance Researcher (7) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (13)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Cross-Pollinator
(15)
Conferences
AAAI (1)
CORL (1)
ICLR (1)
JMLR (1)
MLHC (1)
NIPS (1)
Top co-authors
Research topics
Keywords
reinforcement learning
(2)
pose estimation
(1)
continuous control
(1)
joint modeling
(1)
recurrent neural network
(1)
deep neural network
(1)
return distribution
(1)
electronic health record
(1)
hardware acceleration
(1)
quality-diversity optimization
(1)
observational datum
(1)
tactile sensing
(1)
time-to-event datum
(1)
longitudinal datum
(1)
uncertain environment
(1)
bayesian optimisation
(1)
policy reproducibility
(1)
lower confidence bound
(1)
population-based algorithm
(1)
contact simulation
(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
Forecasting Treatment Responses Over Time Using Recurrent Marginal Structural Networks
NIPS 2018
Disease-Atlas: Navigating Disease Trajectories using Deep Learning
MLHC 2018