| 2026 | GECCO | Mortar: Evolving Mechanics for Automatic Game Design. | Muhammad Umair Nasir, Yuchen Li, Steven James, Julian Togelius |
| 2024 | GECCO | LLMatic: Neural Architecture Search Via Large Language Models And Quality Diversity Optimization. | Muhammad Umair Nasir, Sam Earle, Julian Togelius, Steven James, Christopher W. Cleghorn |
| 2024 | ICLR | Skill Machines: Temporal Logic Skill Composition in Reinforcement Learning. | Geraud Nangue Tasse, Devon Jarvis, Steven James, Benjamin Rosman |
| 2023 | CoRL | Synthesizing Navigation Abstractions for Planning with Portable Manipulation Skills. | Eric Rosen, Steven James, Sergio Orozco, Vedant Gupta, Max Merlin, Stefanie Tellex, George Konidaris |
| 2023 | GECCO | Augmentative Topology Agents For Open-Ended Learning. | Muhammad Umair Nasir, Michael Beukman, Steven James, Christopher W. Cleghorn |
| 2023 | IJCAI | Overlooked Implications of the Reconstruction Loss for VAE Disentanglement. | Nathan Michlo, Richard Klein, Steven James |
| 2022 | GECCO | Procedural content generation using neuroevolution and novelty search for diverse video game levels. | Michael Beukman, Christopher W. Cleghorn, Steven James |
| 2022 | ICLR | Autonomous Learning of Object-Centric Abstractions for High-Level Planning. | Steven James, Benjamin Rosman, George Konidaris |
| 2022 | ICLR | Generalisation in Lifelong Reinforcement Learning through Logical Composition. | Geraud Nangue Tasse, Steven James, Benjamin Rosman |
| 2020 | ICML | Learning Portable Representations for High-Level Planning. | Steven James, Benjamin Rosman, George Konidaris |
| 2019 | ICML | Composing Value Functions in Reinforcement Learning. | Benjamin van Niekerk, Steven James, Adam Christopher Earle, Benjamin Rosman |
| 2018 | IJCAI | Learning Portable Symbolic Representations. | Steven James |
| 2017 | AAAI | An Analysis of Monte Carlo Tree Search. | Steven James, George Dimitri Konidaris, Benjamin Rosman |