Stephan Zheng

Orcid: 0000-0002-7271-1616

According to our database1, Stephan Zheng authored at least 37 papers between 2016 and 2024.

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Bibliography

2024
Social Environment Design.
CoRR, 2024

Position: Social Environment Design Should be Further Developed for AI-based Policy-Making.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
MERMAIDE: Learning to Align Learners using Model-Based Meta-Learning.
Trans. Mach. Learn. Res., 2023

AI For Global Climate Cooperation 2023 Competition Proceedings.
CoRR, 2023

Platform Behavior under Market Shocks: A Simulation Framework and Reinforcement-Learning Based Study.
Proceedings of the ACM Web Conference 2023, 2023

Learning Solutions in Large Economic Networks using Deep Multi-Agent Reinforcement Learning.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Learning to Play General-Sum Games against Multiple Boundedly Rational Agents.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Modeling Bounded Rationality in Multi-Agent Simulations Using Rationally Inattentive Reinforcement Learning.
Trans. Mach. Learn. Res., 2022

WarpDrive: Fast End-to-End Deep Multi-Agent Reinforcement Learning on a GPU.
J. Mach. Learn. Res., 2022

AI for Global Climate Cooperation: Modeling Global Climate Negotiations, Agreements, and Long-Term Cooperation in RICE-N.
CoRR, 2022

Using Reinforcement Learning to Study Platform Economies under Market Shocks.
CoRR, 2022

Solving Dynamic Principal-Agent Problems with a Rationally Inattentive Principal.
CoRR, 2022

Finding General Equilibria in Many-Agent Economic Simulations Using Deep Reinforcement Learning.
CoRR, 2022

2021
Simulation Intelligence: Towards a New Generation of Scientific Methods.
CoRR, 2021

WarpDrive: Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning on a GPU.
CoRR, 2021

Building a Foundation for Data-Driven, Interpretable, and Robust Policy Design using the AI Economist.
CoRR, 2021

The AI Economist: Optimal Economic Policy Design via Two-level Deep Reinforcement Learning.
CoRR, 2021

ERMAS: Becoming Robust to Reward Function Sim-to-Real Gaps in Multi-Agent Simulations.
CoRR, 2021

Robustness Gym: Unifying the NLP Evaluation Landscape.
CoRR, 2021

2020
The Rise of AI-Driven Simulators: Building a New Crystal Ball.
CoRR, 2020

The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies.
CoRR, 2020

Multiresolution Tensor Learning for Efficient and Interpretable Spatial Analysis.
Proceedings of the 37th International Conference on Machine Learning, 2020

ESPRIT: Explaining Solutions to Physical Reasoning Tasks.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Sketch-Fill-A-R: A Persona-Grounded Chit-Chat Generation Framework.
CoRR, 2019

Learning World Graphs to Accelerate Hierarchical Reinforcement Learning.
CoRR, 2019

Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

NAOMI: Non-Autoregressive Multiresolution Sequence Imputation.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

On the Generalization Gap in Reparameterizable Reinforcement Learning.
Proceedings of the 36th International Conference on Machine Learning, 2019

Generating Multi-Agent Trajectories using Programmatic Weak Supervision.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
Generative Multi-Agent Behavioral Cloning.
CoRR, 2018

Detecting Adversarial Examples via Neural Fingerprinting.
CoRR, 2018

Multi-resolution Tensor Learning for Large-Scale Spatial Data.
CoRR, 2018

2017
Long-term Forecasting using Tensor-Train RNNs.
CoRR, 2017

Fine-Grained Retrieval of Sports Plays using Tree-Based Alignment of Trajectories.
CoRR, 2017

Generating Long-term Trajectories Using Deep Hierarchical Networks.
CoRR, 2017

2016
Generating Long-term Trajectories Using Deep Hierarchical Networks.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Improving the Robustness of Deep Neural Networks via Stability Training.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016


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