Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Browsing by Subject deep reinforcement learning (DRL)
Showing results 1 to 5 of 5
| Issue Date | Title | Author(s) |
|---|---|---|
| 12-Aug-2024 | Guided Cooperation in Hierarchical Reinforcement Learning via Model-Based Rollout | Wang, H; Tang, Z; Sun, Y; Wang, F; Zhang, S; Chen, Y |
| 19-Sep-2023 | MARS: a DRL-based Multi-task Resource Scheduling Framework for UAV with IRS-assisted Mobile Edge Computing System | Jiang, F; Peng, Y; Wang, K; Li, D; Yang, K |
| 11-Dec-2024 | Multiagent deep reinforcement learning-based cooperative optimal operation with strong scalability for residential microgrid clusters | Wang, C; Wang, M; Wang, A; Zhang, X; Zhang, J; Ma, H; Yang, N; Zhao, Z; Lai, CS; Lai, LL |
| 6-Aug-2025 | Multiple Influences Maximization Under Dynamic Link Strength in Multi-Agent Systems: The Competitive and Cooperative Cases | Li, M; Wang, Z; Taylor, SJE; Li, K; Liao, X; Liu, X |
| 21-May-2024 | Prioritized sum-tree experience replay TD3 DRL-based online energy management of a residential microgrid | Wang, C; Zhang, J; Wang, A; Wang, Z; Yang, N; Zhao, Z; Lai, CS; Lai, LL |