| LLMatic: Neural Architecture Search via Large Language Models and Quality Diversity Optimization MU Nasir, S Earle, J Togelius, S James, C Cleghorn Proceedings of the Genetic and Evolutionary Computation Conference, 1110-1118, 2024 | 111 | 2024 |
| Multi-pass Q-networks for deep reinforcement learning with parameterised action spaces CJ Bester, S James, G Konidaris arXiv preprint arXiv:1905.04388, 2019 | 100 | 2019 |
| An Analysis of Monte Carlo Tree Search S James, G Konidaris, B Rosman Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence …, 2017 | 97 | 2017 |
| A Boolean Task Algebra for Reinforcement Learning G Nangue Tasse, S James, B Rosman Advances in Neural Information Processing Systems 33, 2020 | 83 | 2020 |
| Composing value functions in reinforcement learning B Van Niekerk, S James, A Earle, B Rosman International Conference on Machine Learning, 6401-6409, 2019 | 82 | 2019 |
| Learning Portable Representations for High-Level Planning S James, B Rosman, G Konidaris International Conference on Machine Learning, 2020 | 71* | 2020 |
| Quantisation and Pruning for Neural Network Compression and Regularisation K Paupamah, S James, R Klein 2020 International SAUPEC/RobMech/PRASA Conference, 1-6, 2020 | 50* | 2020 |
| Autonomous Learning of Object-Centric Abstractions for High-Level Planning S James, B Rosman, G Konidaris International Conference on Learning Representations, 2022 | 37 | 2022 |
| Procedural Content Generation using Neuroevolution and Novelty Search for Diverse Video Game Levels M Beukman, CW Cleghorn, S James Proceedings of the Genetic and Evolutionary Computation Conference, 1028 - 1037, 2022 | 31 | 2022 |
| Generalisation in Lifelong Reinforcement Learning through Logical Composition G Nangue Tasse, S James, B Rosman International Conference on Learning Representations, 2022 | 31* | 2022 |
| Dynamics Generalisation in Reinforcement Learning via Adaptive Context-Aware Policies M Beukman, D Jarvis, R Klein, S James, B Rosman Thirty-seventh Conference on Neural Information Processing Systems, 2023 | 26 | 2023 |
| Word2world: Generating stories and worlds through large language models MU Nasir, S James, J Togelius arXiv preprint arXiv:2405.06686, 2024 | 24 | 2024 |
| Investigating transfer learning in graph neural networks N Kooverjee, S James, T Van Zyl Electronics 11 (8), 1202, 2022 | 24 | 2022 |
| Skill Machines: Temporal Logic Skill Composition in Reinforcement Learning G Nangue Tasse, D Jarvis, S James, B Rosman The Twelfth International Conference on Learning Representations, 2024 | 21* | 2024 |
| Automatic encoding and repair of reactive high-level tasks with learned abstract representations A Pacheck, S James, G Konidaris, H Kress-Gazit The International Journal of Robotics Research 42 (4-5), 263-288, 2023 | 13 | 2023 |
| GameTraversalBenchmark: Evaluating Planning Abilities Of Large Language Models Through Traversing 2D Game Maps MU Nasir, S James, J Togelius Advances in Neural Information Processing Systems, 2024 | 12 | 2024 |
| Overlooked Implications of the Reconstruction Loss for VAE Disentanglement N Michlo, R Klein, S James Proceedings of the Thirty-Second International Joint Conference on …, 2023 | 11 | 2023 |
| Synthesizing navigation abstractions for planning with portable manipulation skills E Rosen, S James, S Orozco, V Gupta, M Merlin, S Tellex, G Konidaris Conference on Robot Learning, 2278-2287, 2023 | 10 | 2023 |
| Hierarchically composing level generators for the creation of complex structures M Beukman, M Fokam, M Kruger, G Axelrod, M Nasir, B Ingram, ... IEEE Transactions on Games 16 (2), 459-469, 2023 | 10 | 2023 |
| Counting Reward Automata: Sample Efficient Reinforcement Learning Through The Exploitation of Reward Function Structure T Bester, B Rosman, S James, G Nangue Tasse Neuro-Symbolic Learning and Reasoning in the Era of Large Language Models at …, 2024 | 8 | 2024 |
Benjamin RosmanProfessor at the University of the Witwatersrand, South AfricaVerified email at wits.ac.za
