Stephan Zheng
Publications by Year
Research Areas
Reinforcement Learning in Robotics, Sports Analytics and Performance, Experimental Behavioral Economics Studies, Auction Theory and Applications, Tensor decomposition and applications
Most-Cited Works
- → Improving the Robustness of Deep Neural Networks via Stability Training(2016)593 cited
- → Technology readiness levels for machine learning systems(2022)150 cited
- Long-term Forecasting using Tensor-Train RNNs(2017)
- → The AI Economist: Taxation policy design via two-level deep multiagent reinforcement learning(2022)81 cited
- → Long-term Forecasting using Higher Order Tensor RNNs(2017)74 cited
- → Generating Long-term Trajectories Using Deep Hierarchical Networks(2017)72 cited
- → Simulation Intelligence: Towards a New Generation of Scientific Methods(2021)69 cited
- → The AI Economist: Improving Equality and Productivity with AI-Driven Tax\n Policies(2020)51 cited
- → Novel deep learning methods for track reconstruction(2018)44 cited