Name
Abstract | ||
|---|---|---|
We present the problem of learning to communicate in decentralized and stochastic environments, analyzing it formally in a decision-theoretic context and illustrating the concept experimentally. Our approach allows agents to converge upon coordinated communication and action over time. |
Year | Venue | Keywords |
|---|---|---|
2005 | IJCAI | stochastic environment,decision-theoretic context,multi-agent system,multi agent system,language learning |
Field | DocType | Citations |
Computer science,Multi-agent system,Language acquisition,Artificial intelligence,Error-driven learning,Machine learning | Conference | 1 |
PageRank | References | Authors |
0.37 | 5 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Allen, Martin | 1 | 53 | 4.87 |
| Claudia V. Goldman | 2 | 726 | 64.56 |
| Shlomo Zilberstein | 3 | 3419 | 255.70 |