The AI economist: taxation policy design via two-level deep multiagent reinforcement learning

Zheng, Stephan, Trott, Alexander, Srinivasa, Sunil, Parkes, David C., Socher, Richard·2022·Science Advances
DOI 10.1126/sciadv.abk2607

Cited by (110)

Items 101–110 of 110

  1. Innovation at the Time of AI and Environmental Crisis
    Alessandro Crimi · 2026 · Sustainable development goals series
  2. From Rational Agents to Learning Agents: A Structured Review and Conceptual Framework for MARL in Economic Modeling
    Wang Wei · 2026 · Complexity
  3. Adaptive Emission Trading System Policy Design via Bi-level Multi-agent Reinforcement Learning
    Xiaoyi Long, Xiao‐Jun Zeng, Fanlin Meng · 2026 · Lecture notes in computer science
  4. AI boosts publication output more at non-elite institutions: Evidence from AlphaFold
    Tianxing Pan, Jiang Li · 2026 · Journal of Informetrics
  5. Bridging game-theoretic modeling and Artificial Intelligence for fast policy recommendations in multi-channel retail
    Phuong Duong, Luong-Ngoc-Anh Vu, Binh Nguyen Thi · 2026 · Journal of Retailing and Consumer Services
  6. A Collapse-Resistant Red-Billed Blue Magpie Optimizer for Employment-Policy Design: Programme Targeting and Occupational Retraining Pathways
    Yang Shi, Xinyu Cai · 2026 · Biomimetics
  7. A Distributed AI-Based Computational Framework for Real-Time Economic Forecasting and Autonomous Policy Adjustment with Integrated Social Service Optimization in Non-Stationary Market Environments
    Bektemirov Abdumalik, Karjavova Xurshida Abdumalikovna, Nodira Ulug'muradova Berdimuradovna, Christo Ananth, Alibekova Saodat Lapasovna, Usmonov Bakhtiyor Zohirovich · 2026 · International Conference on Computer, Mechatronics, Robotics & Artificial Intelligence (ICCMRAI)
  8. Computational modeling of social interactions
    Mikhail Votinov · 2026 · Elsevier eBooks
  9. Innovazione al tempo dell’IA e della crisi ambientale
    Alessandro Crimi · 2026 · SxI Springer per l'Innovazione
  10. AgentSociety: Large-Scale Simulation of LLM-Driven Generative Agents Advances Understanding of Human Behaviors and Society
    Piao, Jinghua, Yan, Yuwei, Zhang, Jun, Li, Nian, Yan, Junbo, Lan, Xiaochong, Lu, Zhihong, Zheng, Zhiheng, Wang, Jing Yi, Zhou, Di et al. · 2025 · arXiv