Learning and Transferring Roles in Multi-Agent Reinforcement

By Aaron Wilson, Alan Fern, Soumya Ray, Prasad Tadepalli. 2008

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Chris Amato
2. Shayegan Omidshafiei
3. Jonathan P. How
4. Jason Pazis
5. John L. Vian
6. Hanlin Tang
7. Kaiqing Zhang
8. Gregory Palmer

Citations in the corpus

• Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability (2017, background): “They extend the work to multi-agent MDPs by learning characteristic agent roles (Wilson et al., 2008).”