| Gymnasium: A standard interface for reinforcement learning environments M Towers, A Kwiatkowski, J Terry, JU Balis, G De Cola, T Deleu, ... arXiv preprint arXiv:2407.17032, 2024 | 273* | 2024 |
| Minigrid & miniworld: Modular & customizable reinforcement learning environments for goal-oriented tasks M Chevalier-Boisvert, B Dai, M Towers, R Perez-Vicente, L Willems, ... Advances in Neural Information Processing Systems 36, 2024 | 145 | 2024 |
| Online resource allocation in edge computing using distributed bidding approaches C Rublein, F Mehmeti, M Towers, S Stein, TF La Porta 2021 IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems …, 2021 | 7 | 2021 |
| Gymnasium, Mar. 2023. doi: 10.5281/zenodo. 8127026 M Towers, JK Terry, A Kwiatkowski | 7 | |
| Open RL Benchmark: Comprehensive Tracked Experiments for Reinforcement Learning S Huang, Q Gallouédec, F Felten, A Raffin, RFJ Dossa, Y Zhao, ... arXiv preprint arXiv:2402.03046, 2024 | 6 | 2024 |
| Gymnasium. Zenodo (2023) M Towers, JK Terry, A Kwiatkowski, JU Balis, G Cola, T Deleu, M Gouláo, ... | 5 | |
| Shimmy: Gymnasium and PettingZoo Wrappers for Commonly Used Environments JJ Tai, M Towers, E Tower Zenodo, 2023 | 1 | 2023 |
| Beyond The Rainbow: High Performance Deep Reinforcement Learning On A Desktop PC T Clark, M Towers, C Evers, J Hare arXiv preprint arXiv:2411.03820, 2024 | | 2024 |
| Explaining an agent’s future beliefs through temporally decomposing future reward estimators M Towers, Y Du, C Freeman, T Norman IOS Press 392, 2790-2797, 2024 | | 2024 |
| Temporal Explanations of Deep Reinforcement Learning Agents M Towers, Y Du, C Freeman, T Norman International Workshop on Explainable, Transparent Autonomous Agents and …, 2024 | | 2024 |
| Analytical agility at the edge of the network through auction mechanisms (Conference Presentation) M Towers, C Rublein, F Mehmeti, S Stein, T La Porta, GR De Mel Artificial Intelligence and Machine Learning for Multi-Domain Operations …, 2020 | | 2020 |
