Abstract
Over the last decade, methods for multiagent planning under uncertainty have increased in scalability. However, many methods assume value factorization or are not able to provide quality guarantees. We propose a novel family of influence-optimistic upper bounds on the optimal value for problems with lOOs of agents that do not exhibit value fec-torization.
| Original language | English |
|---|---|
| Title of host publication | AAMAS 2015 - Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems |
| Publisher | International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS) |
| Pages | 1703-1704 |
| Number of pages | 2 |
| Volume | 3 |
| ISBN (Electronic) | 9781450337717 |
| Publication status | Published - 1 Jan 2015 |
| Event | AAMAS 2015: 14th International Conference on Autonomous Agents and Multiagent Systems - Istanbul, Turkey Duration: 4 May 2015 → 8 May 2015 Conference number: 14 |
Conference
| Conference | AAMAS 2015: 14th International Conference on Autonomous Agents and Multiagent Systems |
|---|---|
| Abbreviated title | AAMAS 2015 |
| Country/Territory | Turkey |
| City | Istanbul |
| Period | 4/05/15 → 8/05/15 |
Keywords
- Factored Dec-POMDPs
- Multi-agent planning