| Deep reinforcement learning-based energy storage arbitrage with accurate lithium-ion battery degradation model J Cao, D Harrold, Z Fan, T Morstyn, D Healey, K Li IEEE Transactions on Smart Grid 11 (5), 4513-4521, 2020 | 295 | 2020 |
| Renewable energy integration and microgrid energy trading using multi-agent deep reinforcement learning DJB Harrold, J Cao, Z Fan Applied Energy 318, 119151, 2022 | 76 | 2022 |
| Data-driven battery operation for energy arbitrage using rainbow deep reinforcement learning DJB Harrold, J Cao, Z Fan Energy 238, 121958, 2022 | 61 | 2022 |
| Battery control in a smart energy network using double dueling deep q-networks DJB Harrold, J Cao, Z Fan 2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), 106-110, 2020 | 16 | 2020 |
| Deep reinforcement learning for autonomous cyber operations: A survey G Palmer, C Parry, DJB Harrold, C Willis arXiv preprint arXiv:2310.07745, 2023 | 5 | 2023 |
| An Empirical Game-Theoretic Analysis of Autonomous Cyber-Defence Agents G Palmer, L Swaby, DJB Harrold, M Stewart, A Hiles, C Willis, I Miles, ... arXiv preprint arXiv:2501.19206, 2025 | | 2025 |
| Machine Theory of Mind for Autonomous Cyber-Defence L Swaby, M Stewart, D Harrold, C Willis, G Palmer arXiv preprint arXiv:2412.04367, 2024 | | 2024 |
| Reinforcement Learning for Autonomous Resilient Cyber Defence I Miles, S Farmer, D Foster, D Harrold, G Palmer, C Parry, C Willis, ... Presented at Black Hat USA, 2024 | | 2024 |
| Deep Reinforcement Learning for Autonomous Cyber Defence: A Survey G Palmer, C Parry, DJB Harrold, C Willis arXiv preprint arXiv:2310.07745, 2023 | | 2023 |
| Deep Reinforcement Learning for Smart Energy Networks DJB Harrold | | 2023 |
