Stephan Zheng | DeepAI

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Featured Co-authors

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125 publications
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∙ 04/10/2023

MERMAIDE: Learning to Align Learners using Model-Based Meta-Learning

We study how a principal can efficiently and effectively intervene on th...

0 Arundhati Banerjee, et al. ∙

∙ 03/25/2022

Using Reinforcement Learning to Study Platform Economies under Market Shocks

Driven by rapid digitization and expansive internet access, market-drive...

0 Xintong Wang, et al. ∙

∙ 01/18/2022

Solving Dynamic Principal-Agent Problems with a Rationally Inattentive Principal

Principal-Agent (PA) problems describe a broad class of economic relatio...

0 Tong Mu, et al. ∙

∙ 01/03/2022

Analyzing Micro-Founded General Equilibrium Models with Many Agents using Deep Reinforcement Learning

Real economies can be modeled as a sequential imperfect-information game...

3 Michael Curry, et al. ∙

∙ 12/06/2021

Simulation Intelligence: Towards a New Generation of Scientific Methods

The original "Seven Motifs" set forth a roadmap of essential methods for...

50 Alexander Lavin, et al. ∙

∙ 08/31/2021

WarpDrive: Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning on a GPU

Deep reinforcement learning (RL) is a powerful framework to train decisi...

0 Tian Lan, et al. ∙

∙ 08/06/2021

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

Optimizing economic and public policy is critical to address socioeconom...

0 Alexander Trott, et al. ∙

∙ 08/05/2021

The AI Economist: Optimal Economic Policy Design via Two-level Deep Reinforcement Learning

AI and reinforcement learning (RL) have improved many areas, but are not...

0 Stephan Zheng, et al. ∙

∙ 06/10/2021

ERMAS: Becoming Robust to Reward Function Sim-to-Real Gaps in Multi-Agent Simulations

Multi-agent simulations provide a scalable environment for learning poli...

0 Eric Zhao, et al. ∙

∙ 01/13/2021

Robustness Gym: Unifying the NLP Evaluation Landscape

Despite impressive performance on standard benchmarks, deep neural netwo...

2 Karan Goel, et al. ∙

∙ 12/11/2020

The Rise of AI-Driven Simulators: Building a New Crystal Ball

The use of computational simulation is by now so pervasive in society th...

0 Ian Foster, et al. ∙

∙ 05/02/2020

ESPRIT: Explaining Solutions to Physical Reasoning Tasks

Neural networks lack the ability to reason about qualitative physics and...

0 Nazneen Fatema Rajani, et al. ∙

∙ 04/28/2020

The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies

Tackling real-world socio-economic challenges requires designing and tes...

7 Stephan Zheng, et al. ∙

∙ 11/04/2019

Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards

While using shaped rewards can be beneficial when solving sparse reward ...

8 Alexander Trott, et al. ∙

∙ 10/28/2019

Sketch-Fill-A-R: A Persona-Grounded Chit-Chat Generation Framework

Human-like chit-chat conversation requires agents to generate responses ...

0 Michael Shum, et al. ∙

∙ 07/01/2019

Learning World Graphs to Accelerate Hierarchical Reinforcement Learning

In many real-world scenarios, an autonomous agent often encounters vario...

5 Wenling Shang, et al. ∙

∙ 05/29/2019

On the Generalization Gap in Reparameterizable Reinforcement Learning

Understanding generalization in reinforcement learning (RL) is a signifi...

8 Huan Wang, et al. ∙

∙ 01/30/2019

NAOMI: Non-Autoregressive Multiresolution Sequence Imputation

Missing value imputation is a fundamental problem in modeling spatiotemp...

38 Yukai Liu, et al. ∙

∙ 03/20/2018

Generative Multi-Agent Behavioral Cloning

We propose and study the problem of generative multi-agent behavioral cl...

0 Eric Zhan, et al. ∙

∙ 03/11/2018

Detecting Adversarial Examples via Neural Fingerprinting

Deep neural networks are vulnerable to adversarial examples, which drama...

0 Sumanth Dathathri, et al. ∙

∙ 02/19/2018

Multi-resolution Tensor Learning for Large-Scale Spatial Data

High-dimensional tensor models are notoriously computationally expensive...

0 Stephan Zheng, et al. ∙

∙ 10/06/2017

Fine-Grained Retrieval of Sports Plays using Tree-Based Alignment of Trajectories

We propose a novel method for effective retrieval of multi-agent spatiot...

0 Long Sha, et al. ∙

∙ 04/15/2016

Improving the Robustness of Deep Neural Networks via Stability Training

In this paper we address the issue of output instability of deep neural ...

0 Stephan Zheng, et al. ∙

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