Get started
Author

Bryan Lim

Observed names: B. Lim, Lim, Bryan
ORCID: 0000-0002-2324-1400
Observed ORCID: 0000-0002-2324-1400
OpenAlex ID: A5011437628
Vision Aided Dynamic Exploration of Unstructured Terrain with a Small-Scale Quadruped Robot
2020 · D. Kim, D. Carballo, et al. · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · 126
Tactile Object Pose Estimation from the First Touch with Geometric Contact Rendering
2020 · Bauza, Maria, Valls, Eric, et al. · arXiv (Cornell University) · 62
PDF
Robust Autonomous Navigation of a Small-Scale Quadruped Robot in Real-World Environments
2020 · Thomas Dudzik, Matthew Chignoli, et al. · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · 60
Benchmarking Quality-Diversity Algorithms on Neuroevolution for Reinforcement Learning
2022 · Flageat, Manon, Lim, Bryan, et al. · arXiv (Cornell University) · 30
PDF
Accelerated Quality-Diversity through Massive Parallelism
2022 · Lim, Bryan, Allard, Maxime, et al. · arXiv (Cornell University) · 30
PDF
QDax: A Library for Quality-Diversity and Population-based Algorithms with Hardware Acceleration
2023 · Chalumeau, Felix, Lim, Bryan, et al. · arXiv (Cornell University) · 25
PDF
Dynamics-Aware Quality-Diversity for Efficient Learning of Skill Repertoires
2022 · Bryan Lim, Luca Grillotti, et al. · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · 22
PDF
Online Damage Recovery for Physical Robots with Hierarchical Quality-Diversity
2023 · Maxime Allard, Simón C. Smith, et al. · ACM Transactions on Evolutionary Learning and Optimization · 20
PDF
Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery
2022 · Chalumeau, Felix, Boige, Raphael, et al. · arXiv (Cornell University) · 20
PDF
Large Language Models as In-context AI Generators for Quality-Diversity
2024 · Bryan Lim, Manon Flageat, et al. · Conference on Artificial Life (ALIFE) · 16
Understanding the Synergies between Quality-Diversity and Deep Reinforcement Learning
2023 · Bryan Lim, Manon Flageat, et al. · Genetic and Evolutionary Computation Conference (GECCO) · 14
PDF
Learning to walk autonomously via reset-free quality-diversity
2022 · Bryan Lim, Alexander Reichenbach, et al. · Genetic and Evolutionary Computation Conference (GECCO) · 13
PDF
Don't Bet on Luck Alone: Enhancing Behavioral Reproducibility of Quality-Diversity Solutions in Uncertain Domains
2023 · Luca Grillotti, Manon Flageat, et al. · Genetic and Evolutionary Computation Conference (GECCO) · 12
PDF
Disease-Atlas: Navigating Disease Trajectories with Deep Learning
2018 · Lim, Bryan, van der Schaar, Mihaela · arXiv (Cornell University) · 12
PDF
Enhancing MAP-Elites with Multiple Parallel Evolution Strategies
2024 · Manon Flageat, Bryan Lim, et al. · Genetic and Evolutionary Computation Conference (GECCO) · 7
Efficient Learning of Locomotion Skills through the Discovery of Diverse Environmental Trajectory Generator Priors
2023 · Shikha Surana, Bryan Lim, et al. · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · 7
PDF
Mix-ME: Quality-Diversity for Multi-Agent Learning
2023 · Ingvarsson, Garðar, Samvelyan, Mikayel, et al. · arXiv (Cornell University) · 6
PDF
Efficient Exploration using Model-Based Quality-Diversity with Gradients
2023 · Bryan Lim, Manon Flageat, et al. · Conference on Artificial Life (ALIFE) · 6
PDF
Exploring the Performance-Reproducibility Trade-Off in Quality-Diversity
2025 · Manon Flageat, Hannah Janmohamed, et al. · IEEE Transactions on Evolutionary Computation · 5
PDF
Beyond Expected Return: Accounting for Policy Reproducibility When Evaluating Reinforcement Learning Algorithms
2024 · Manon Flageat, Bryan Lim, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 4
PDF
QDax: on the benefits of massive parallelization for quality-diversity
2022 · Bryan Lim, Maxime Allard, et al. · Genetic and Evolutionary Computation Conference Companion (GECCO Companion) · 4
Quality-Diversity Optimisation on a Physical Robot Through Dynamics-Aware and Reset-Free Learning
2023 · Simón C. Smith, Bryan Lim, et al. · Genetic and Evolutionary Computation Conference Companion (GECCO Companion) · 2
FLOORA: A Human-Aligned Domain-Specific Language Model for Architectural Design
2026 · Rezaei-Shoshtari, Sahand, Wozniczka, Patryk, et al. · arXiv (Cornell University)
PDF
Evolutionary Reinforcement Learning
2025 · Antoine Cully, Bryan Lim, et al. · Genetic and Evolutionary Computation Conference Companion (GECCO Companion)
Getting Robots Back On Track: Reconstituting Control in Unexpected Situations with Online Learning - Dataset
2024 · Allard, Maxime, Flageat, Manon, et al. · Zenodo (CERN European Organization for Nuclear Research)
Works count: 27
Citation count: 503
H-index: 12
I10-index: 14
Year
Topic
Type