Zheng, Stephan

15 publications

ICML 2025 AI for Global Climate Cooperation: Modeling Global Climate Negotiations, Agreements, and Long-Term Cooperation in RICE-N Tianyu Zhang, Andrew Robert Williams, Phillip Wozny, Kai-Hendrik Cohrs, Koen Ponse, Marco Jiralerspong, Soham Rajesh Phade, Sunil Srinivasa, Lu Li, Yang Zhang, Prateek Gupta, Erman Acar, Irina Rish, Yoshua Bengio, Stephan Zheng

NeurIPS 2025 EnCompass: Enhancing Agent Programming with Search over Program Execution Paths Zhening Li, Armando Solar-Lezama, Yisong Yue, Stephan Zheng

ICML 2024 Position: Social Environment Design Should Be Further Developed for AI-Based Policy-Making Edwin Zhang, Sadie Zhao, Tonghan Wang, Safwan Hossain, Henry Gasztowtt, Stephan Zheng, David C. Parkes, Milind Tambe, Yiling Chen

AAAI 2023 Learning to Play General-Sum Games Against Multiple Boundedly Rational Agents Eric Zhao, Alexander R. Trott, Caiming Xiong, Stephan Zheng

TMLR 2023 MERMAIDE: Learning to Align Learners Using Model-Based Meta-Learning Arundhati Banerjee, Soham Rajesh Phade, Stefano Ermon, Stephan Zheng

NeurIPSW 2023 MERMAIDE: Learning to Align Learners Using Model-Based Meta-Learning Arundhati Banerjee, Soham Phade, Stefano Ermon, Stephan Zheng

TMLR 2022 Modeling Bounded Rationality in Multi-Agent Simulations Using Rationally Inattentive Reinforcement Learning Tong Mu, Stephan Zheng, Alexander R Trott

MLOSS 2022 WarpDrive: Fast End-to-End Deep Multi-Agent Reinforcement Learning on a GPU Tian Lan, Sunil Srinivasa, Huan Wang, Stephan Zheng

ICML 2020 Multiresolution Tensor Learning for Efficient and Interpretable Spatial Analysis Jung Yeon Park, Kenneth Carr, Stephan Zheng, Yisong Yue, Rose Yu

ICLR 2019 Generating Multi-Agent Trajectories Using Programmatic Weak Supervision Eric Zhan, Stephan Zheng, Yisong Yue, Long Sha, Patrick Lucey

NeurIPS 2019 Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards Alexander Trott, Stephan Zheng, Caiming Xiong, Richard Socher

NeurIPS 2019 NAOMI: Non-Autoregressive Multiresolution Sequence Imputation Yukai Liu, Rose Yu, Stephan Zheng, Eric Zhan, Yisong Yue

ICML 2019 On the Generalization Gap in Reparameterizable Reinforcement Learning Huan Wang, Stephan Zheng, Caiming Xiong, Richard Socher

NeurIPS 2016 Generating Long-Term Trajectories Using Deep Hierarchical Networks Stephan Zheng, Yisong Yue, Jennifer Hobbs

CVPR 2016 Improving the Robustness of Deep Neural Networks via Stability Training Stephan Zheng, Yang Song, Thomas Leung, Ian Goodfellow