ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1806.04067
  4. Cited By
Adaptive Mechanism Design: Learning to Promote Cooperation
v1v2 (latest)

Adaptive Mechanism Design: Learning to Promote Cooperation

11 June 2018
T. Baumann
T. Graepel
John Shawe-Taylor
ArXiv (abs)PDFHTML

Papers citing "Adaptive Mechanism Design: Learning to Promote Cooperation"

15 / 15 papers shown
Fair Contracts in Principal-Agent Games with Heterogeneous Types
Fair Contracts in Principal-Agent Games with Heterogeneous Types
Jakub Tłuczek
Victor Villin
Christos Dimitrakakis
150
2
0
18 Jun 2025
Steering No-Regret Agents in MFGs under Model Uncertainty
Steering No-Regret Agents in MFGs under Model UncertaintyInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2025
Leo Widmer
Jiawei Huang
Niao He
LLMSV
372
2
0
12 Mar 2025
Principal-Agent Reinforcement Learning
Principal-Agent Reinforcement Learning
Dima Ivanov
Paul Dutting
Inbal Talgam-Cohen
Tonghan Wang
David C. Parkes
241
15
0
25 Jul 2024
Learning to Steer Markovian Agents under Model Uncertainty
Learning to Steer Markovian Agents under Model Uncertainty
Jiawei Huang
Vinzenz Thoma
Zebang Shen
H. Nax
Niao He
518
4
0
14 Jul 2024
MEDIATE: Mutually Endorsed Distributed Incentive Acknowledgment Token
  Exchange
MEDIATE: Mutually Endorsed Distributed Incentive Acknowledgment Token ExchangeInternational Conference on Agents and Artificial Intelligence (ICAART), 2024
Philipp Altmann
Katharina Winter
Michael Kolle
Maximilian Zorn
Thomy Phan
Claudia Linnhoff-Popien
391
3
0
04 Apr 2024
Mediated Multi-Agent Reinforcement Learning
Mediated Multi-Agent Reinforcement LearningAdaptive Agents and Multi-Agent Systems (AAMAS), 2023
Dmitry Ivanov
Ilya Zisman
Kirill Chernyshev
272
10
0
14 Jun 2023
Learning Optimal "Pigovian Tax" in Sequential Social Dilemmas
Learning Optimal "Pigovian Tax" in Sequential Social DilemmasAdaptive Agents and Multi-Agent Systems (AAMAS), 2023
Yun Hua
Shang Gao
Wenhao Li
Bo Jin
Xiangfeng Wang
H. Zha
212
0
0
10 May 2023
IQ-Flow: Mechanism Design for Inducing Cooperative Behavior to
  Self-Interested Agents in Sequential Social Dilemmas
IQ-Flow: Mechanism Design for Inducing Cooperative Behavior to Self-Interested Agents in Sequential Social DilemmasAdaptive Agents and Multi-Agent Systems (AAMAS), 2023
Bengisu Guresti
Abdullah Vanlioglu
N. K. Üre
197
8
0
28 Feb 2023
Blockchain and Machine Learning for Fraud Detection: A
  Privacy-Preserving and Adaptive Incentive Based Approach
Blockchain and Machine Learning for Fraud Detection: A Privacy-Preserving and Adaptive Incentive Based ApproachIEEE Access (IEEE Access), 2022
Tahmid Hasan Pranto
Kazi Tamzid Akhter Md. Hasib
Tahsinur Rahman
Akm Bahalul Haque
A. Najmul Islam
R. Rahman
249
51
0
23 Oct 2022
Adaptive Incentive Design with Multi-Agent Meta-Gradient Reinforcement
  Learning
Adaptive Incentive Design with Multi-Agent Meta-Gradient Reinforcement LearningAdaptive Agents and Multi-Agent Systems (AAMAS), 2021
Jiachen Yang
Ethan Wang
Rakshit S. Trivedi
T. Zhao
H. Zha
246
26
0
20 Dec 2021
Deception in Social Learning: A Multi-Agent Reinforcement Learning
  Perspective
Deception in Social Learning: A Multi-Agent Reinforcement Learning Perspective
P. Chelarescu
251
9
0
09 Jun 2021
Modelling Cooperation in Network Games with Spatio-Temporal Complexity
Modelling Cooperation in Network Games with Spatio-Temporal ComplexityAdaptive Agents and Multi-Agent Systems (AAMAS), 2021
Michiel A. Bakker
Richard Everett
Laura Weidinger
Iason Gabriel
William S. Isaac
Joel Z Leibo
Edward Hughes
216
5
0
13 Feb 2021
Learning in two-player games between transparent opponents
Learning in two-player games between transparent opponents
A. Hutter
235
5
0
04 Dec 2020
Learning to Incentivize Other Learning Agents
Learning to Incentivize Other Learning AgentsNeural Information Processing Systems (NeurIPS), 2020
Jiachen Yang
Ang Li
Mehrdad Farajtabar
P. Sunehag
Edward Hughes
H. Zha
416
88
0
10 Jun 2020
Should I tear down this wall? Optimizing social metrics by evaluating
  novel actions
Should I tear down this wall? Optimizing social metrics by evaluating novel actions
János Kramár
Neil C. Rabinowitz
Tom Eccles
Andrea Tacchetti
212
6
0
16 Apr 2020
1
Page 1 of 1