A Deep Reinforcement Learning Approach to Concurrent Bilateral Negotiation
Author:
Affiliation:
1. Royal Holloway, University of London, UK
2. King Saud University, Saudi Arabia
Abstract
Publisher
International Joint Conferences on Artificial Intelligence Organization
Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Personalized Prediction of Bounded-Rational Bargaining Behavior in Network Resource Sharing;IEEE INFOCOM 2024 - IEEE Conference on Computer Communications;2024-05-20
2. Deep Deterministic Policy Gradient for Nested Parallel Negotiation;2023 IEEE International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT);2023-10-26
3. Multi-Issue Negotiation Protocol with Pre-Domain Narrowing;Applied Sciences;2023-05-18
4. Transfer Reinforcement Learning Based Negotiating Agent Framework;Advances in Knowledge Discovery and Data Mining;2023
5. Attention Guidance Agents with Eye-Tracking;Engineering Multi-Agent Systems;2022
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