Hongming Liu
Biographic Data
| ID | 9560031 |
|---|---|
| NAME | Hongming Liu |
| GIVEN NAMES | Hongming |
| FAMILY NAME | Liu |
| SIGNATURE | LIU H |
| AFFILIATIONS | Beihang University |
| ORCID | 0009-0002-4305-7309 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Tpgca
Multiagent reinforcement learning (MARL) methods have good application performances and prospects in cooperative tasks. To improve the capability of agent policy learning in new scenarios, some methods transfer the learned policy knowledge to new scenarios. However, most methods only focus on the knowledge transfer of individual agent policies, neglecting the credit assignment among agents in cooperative tasks, which results in a transfer bias of…
Whether to share personal financial information through blockchain? – an intermediary perspective
Information sharing is of great importance in the financial market. Most current electronic transaction systems do not encourage investors to freely share information such as risk assessment records. Blockchain, a decentralised technology with high security features, is expected to improve the current systems. However, little is known about whether blockchain-based electronic transaction systems contribute to investors’ willingness to share perso…
No prominent works on this page.
Whether to share personal financial information through blockchain? – an intermediary perspective
Information sharing is of great importance in the financial market. Most current electronic transaction systems do not encourage investors to freely share information such as risk assessment records. Blockchain, a decentralised technology with high security features, is expected to improve the current systems. However, little is known about whether blockchain-based electronic transaction systems contribute to investors’ willingness to share perso…
Tpgca
Multiagent reinforcement learning (MARL) methods have good application performances and prospects in cooperative tasks. To improve the capability of agent policy learning in new scenarios, some methods transfer the learned policy knowledge to new scenarios. However, most methods only focus on the knowledge transfer of individual agent policies, neglecting the credit assignment among agents in cooperative tasks, which results in a transfer bias of…
Blockchain (1 work) · Blockchain Technology Applications and Security (1 work) · Business (1 work) · Computer Science (1 work) · Computer security (1 work) · Database transaction (1 work) · Decomposition (1 work) · Digital Marketing and Social Media (1 work) · Domain Adaptation and Few-Shot Learning (1 work) · Explainable Artificial Intelligence (XAI (1 work)