Zheng, Stephen
Bibliographic References tagged with Zheng, Stephen
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E. Zhang et al.,
“Position: Social Environment Design Should be Further Developed for AI-based Policy-Making”, in Proc. 41st International Conference on Machine Learning, ICML 2024, 2024.
E. Zhang et al.,
“Position: Social Environment Design Should be Further Developed for AI-based Policy-Making”, in Proc. 41st International Conference on Machine Learning, ICML 2024, 2024.
X. Wang et al.,
“Platform Behavior under Market Shocks: A Simulation Framework and Reinforcement-Learning Based Study.”, in Proc. of the International World Wide Web Conference (WWW ’23), 2023, pp. 3592–3602.
X. Wang et al.,
“Platform Behavior under Market Shocks: A Simulation Framework and Reinforcement-Learning Based Study.”, in Proc. of the International World Wide Web Conference (WWW ’23), 2023, pp. 3592–3602.
S. Zheng, A. Trott, S. Srinivasa, D. C. Parkes, and R. Socher,
“The AI Economist: Taxation policy design via two-level deep multiagent reinforcement learning.”, Science Advances, vol. 8, no. 18, p. eabk2607, 2022.
S. Zheng, A. Trott, S. Srinivasa, D. C. Parkes, and R. Socher,
“The AI Economist: Taxation policy design via two-level deep multiagent reinforcement learning.”, Science Advances, vol. 8, no. 18, p. eabk2607, 2022.