| 2025 | ICLR | Automated Design of Agentic Systems. | Shengran Hu, Cong Lu, Jeff Clune |
| 2025 | ICLR | Intelligent Go-Explore: Standing on the Shoulders of Giant Foundation Models. | Cong Lu, Shengran Hu, Jeff Clune |
| 2025 | IROS | IGDrivSim: A Benchmark for the Imitation Gap in Autonomous Driving. | Clmence Grislain, Risto Vuorio, Cong Lu, Shimon Whiteson |
| 2022 | ICLR | Revisiting Design Choices in Offline Model Based Reinforcement Learning. | Cong Lu, Philip J. Ball, Jack Parker-Holder, Michael A. Osborne, Stephen J. Roberts |
| 2021 | ICML | Augmented World Models Facilitate Zero-Shot Dynamics Generalization From a Single Offline Environment. | Philip J. Ball, Cong Lu, Jack Parker-Holder, Stephen J. Roberts |
| 2021 | ICML | Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces. | Xingchen Wan, Vu Nguyen, Huong Ha, Bin Xin Ru, Cong Lu, Michael A. Osborne |
| 2021 | ICML | Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning. | Luisa M. Zintgraf, Leo Feng, Cong Lu, Maximilian Igl, Kristian Hartikainen, Katja Hofmann, Shimon Whiteson |
| 2009 | DASC | A Rare Feature Recognition Approach Based on Fuzzy ART Neural Networks. | Jun Zha, Cong Lu, HongGuang Lv |