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.
| Original language | English |
|---|---|
| Pages (from-to) | 1649-1650 |
| Number of pages | 2 |
| Journal | IJCAI International Joint Conference on Artificial Intelligence |
| State | Published - 2005 |
| Externally published | Yes |
| Event | 19th International Joint Conference on Artificial Intelligence, IJCAI 2005 - Edinburgh, United Kingdom Duration: 30 Jul 2005 → 5 Aug 2005 |