| A boolean task algebra for reinforcement learning G Nangue Tasse, S James, B Rosman Advances in Neural Information Processing Systems 33, 9497-9507, 2020 | 65 | 2020 |
| Generalisation in Lifelong Reinforcement Learning through Logical Composition GN Tasse, S James, B Rosman International Conference on Learning Representations, 2021 | 26 | 2021 |
| Skill Machines: Temporal Logic Skill Composition in Reinforcement Learning GN Tasse, D Jarvis, S James, B Rosman The Twelfth International Conference on Learning Representations, 2024 | 13* | 2024 |
| World Value Functions: Knowledge Representation for Learning and Planning GN Tasse, B Rosman, S James Bridging the Gap Between AI Planning and Reinforcement Learning Workshop at …, 2022 | 5* | 2022 |
| World value functions: Knowledge representation for multitask reinforcement learning GN Tasse, S James, B Rosman The Multi-disciplinary Conference on Reinforcement Learning and Decision Making, 2022 | 5* | 2022 |
| Learning to Follow Language Instructions with Compositional Policies V Cohen, GN Tasse, N Gopalan, S James, M Gombolay, B Rosman AAAI Fall Symposium on AI for HRI, 2021 | 5 | 2021 |
| ROSARL: Reward-only safe reinforcement learning GN Tasse, T Love, M Nemecek, S James, B Rosman arXiv preprint arXiv:2306.00035, 2023 | 2 | 2023 |
| Hierarchical Reinforcement Learning with AI Planning Models J Lee, M Katz, DJ Agravante, M Liu, GN Tasse, T Klinger, S Sohrabi arXiv preprint arXiv:2203.00669, 2022 | 2 | 2022 |
| End-to-End Learning to Follow Language Instructions with Compositional Policies V Cohen, GN Tasse, N Gopalan, S James, R Mooney, B Rosman Workshop on Language and Robotics at CoRL 2022, 2022 | 1 | 2022 |
| Logical Composition in Lifelong Reinforcement Learning GN Tasse, S James, B Rosman Lifelong Learning Workshop at ICML, 2020 | 1 | 2020 |
| Optimal Task Generalisation in Cooperative Multi-Agent Reinforcement Learning S Rosen, AM Njupoun, GN Tasse, S James, B Rosman | | 2024 |
| Learning Operators with NEAT for Boolean Composition in Reinforcement Learning A Esterhuysen, S James, GN Tasse, B Rosman, J Shock | | 2024 |
| RobocupGym: A challenging continuous control benchmark in Robocup M Beukman, B Ingram, GN Tasse, B Rosman, P Ranchod arXiv preprint arXiv:2407.14516, 2024 | | 2024 |
| Counting Reward Automata: Sample Efficient Reinforcement Learning Through the Exploitation of Reward Function Structure T Bester, B Rosman, S James, GN Tasse arXiv preprint arXiv:2312.11364, 2023 | | 2023 |
| Facilitating Safe Sim-to-Real through Simulator Abstraction and Zero-shot Task Composition T Love, D Jarvis, GN Tasse, B Ingram, S James, B Rosman Lifelong Learning of High-level Cognitive and Reasoning Skills Workshop at IROS, 2022 | | 2022 |
| A task algebra for agents in reinforcement learning GN Tasse | | 2020 |
| Optimal Task Generalisation in Multi-Agent Reinforcement Learning S Rosen, AM Njupoun, GN Tasse, S James, B Rosman Coordination and Cooperation for Multi-Agent Reinforcement Learning Methods …, 0 | | |
| Full Elastic Weight Consolidation via the Surrogate Hessian-Vector Product D Jarvis, GN Tasse, S Lee, S Zwane, R Klein, B Rosman, AM Saxe | | |
| Compositional Instruction Following with Language Models and Reinforcement Learning V Cohen, GN Tasse, N Gopalan, S James, M Gombolay, R Mooney, ... | | |
| Supplementary Material: A Boolean Task Algebra For Reinforcement Learning GN Tasse, S James, B Rosman | | |
Benjamin RosmanProfessor at the University of the Witwatersrand, South AfricaVerified email at wits.ac.za
