3 citations · 8 across the 4 of their papers we have counts for
3 papers · 1 filter
Deep Learnable Strategy Templates for Multi-Issue Bilateral Negotiation
Pallavi Bagga, Nicola Paoletti, Kostas Stathis
We study how to exploit the notion of strategy templates to learn strategies for multi-issue bilateral negotiation. Each strategy template consists of a set of interpretable parame…
Learnable Strategies for Bilateral Agent Negotiation over Multiple Issues
Pallavi Bagga, Nicola Paoletti, Kostas Stathis
We present a novel bilateral negotiation model that allows a self-interested agent to learn how to negotiate over multiple issues in the presence of user preference uncertainty. Th…
A Deep Reinforcement Learning Approach to Concurrent Bilateral Negotiation
Pallavi Bagga, Nicola Paoletti, Bedour Alrayes +1
We present a novel negotiation model that allows an agent to learn how to negotiate during concurrent bilateral negotiations in unknown and dynamic e-markets. The agent uses an act…