| 2025 | CSEDU | Narrative-Based Interactive Learning for Scam Prevention: Rich Within Reach. | Weile Tu, Bryan Lim, Victor W. Ong, Juay Hee Tan, Ashe Xy Lee, Peisen Xu, Anand Bhojan |
| 2025 | GECCO | Evolutionary Reinforcement Learning. | Antoine Cully, Bryan Lim, Paul Templier, Manon Flageat |
| 2024 | AAAI | Beyond Expected Return: Accounting for Policy Reproducibility When Evaluating Reinforcement Learning Algorithms. | Manon Flageat, Bryan Lim, Antoine Cully |
| 2024 | GECCO | Enhancing MAP-Elites with Multiple Parallel Evolution Strategies. | Manon Flageat, Bryan Lim, Antoine Cully |
| 2024 | GECCO | Evolutionary Reinforcement Learning. | Manon Flageat, Bryan Lim, Antoine Cully |
| 2023 | GECCO | Don't Bet on Luck Alone: Enhancing Behavioral Reproducibility of Quality-Diversity Solutions in Uncertain Domains. | Luca Grillotti, Manon Flageat, Bryan Lim, Antoine Cully |
| 2023 | GECCO | Understanding the Synergies between Quality-Diversity and Deep Reinforcement Learning. | Bryan Lim, Manon Flageat, Antoine Cully |
| 2023 | GECCO | Quality-Diversity Optimisation on a Physical Robot Through Dynamics-Aware and Reset-Free Learning. | Simn C. Smith, Bryan Lim, Hannah Janmohamed, Antoine Cully |
| 2023 | ICLR | Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery. | Flix Chalumeau, Raphal Boige, Bryan Lim, Valentin Mac, Maxime Allard, Arthur Flajolet, Antoine Cully, Thomas Pierrot |
| 2023 | ICRA | Efficient Learning of Locomotion Skills through the Discovery of Diverse Environmental Trajectory Generator Priors. | Shikha Surana, Bryan Lim, Antoine Cully |
| 2022 | GECCO | QDax: on the benefits of massive parallelization for quality-diversity. | Bryan Lim, Maxime Allard, Luca Grillotti, Antoine Cully |
| 2022 | GECCO | Learning to walk autonomously via reset-free quality-diversity. | Bryan Lim, Alexander Reichenbach, Antoine Cully |
| 2022 | ICRA | Dynamics-Aware Quality-Diversity for Efficient Learning of Skill Repertoires. | Bryan Lim, Luca Grillotti, Lorenzo Bernasconi, Antoine Cully |
| 2020 | CoRL | Tactile Object Pose Estimation from the First Touch with Geometric Contact Rendering. | Maria Bauz Villalonga, Alberto Rodriguez, Bryan Lim, Eric Valls, Theo Sechopoulos |
| 2020 | ICRA | Vision Aided Dynamic Exploration of Unstructured Terrain with a Small-Scale Quadruped Robot. | Donghyun Kim, D. Carballo, Jared Di Carlo, Benjamin Katz, Gerardo Bledt, Bryan Lim, Sangbae Kim |
| 2020 | IJCNN | Recurrent Neural Filters: Learning Independent Bayesian Filtering Steps for Time Series Prediction. | Bryan Lim, Stefan Zohren, Stephen Roberts |
| 2020 | IROS | Robust Autonomous Navigation of a Small-Scale Quadruped Robot in Real-World Environments. | Thomas Dudzik, Matthew Chignoli, Gerardo Bledt, Bryan Lim, Adam Miller, Donghyun Kim, Sangbae Kim |