Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox

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


Aug 15, 2022
Tianyu Zhang, Andrew Williams, Soham Phade, Sunil Srinivasa, Yang Zhang, Prateek Gupta, Yoshua Bengio, Stephan Zheng

Add code

* 12 pages (21 with appendices), 5 figures. For associated working group, see https://www.ai4climatecoop.org/ 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Modeling Bounded Rationality in Multi-Agent Simulations Using Rationally Inattentive Reinforcement Learning


Jan 18, 2022
Tong Mu, Stephan Zheng, Alexander Trott

Add code

* 16 pages, 7 figures, including appendix 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Finding General Equilibria in Many-Agent Economic Simulations Using Deep Reinforcement Learning


Jan 03, 2022
Michael Curry, Alexander Trott, Soham Phade, Yu Bai, Stephan Zheng

Add code


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Simulation Intelligence: Towards a New Generation of Scientific Methods


Dec 06, 2021
Alexander Lavin, Hector Zenil, Brooks Paige, David Krakauer, Justin Gottschlich, Tim Mattson, Anima Anandkumar, Sanjay Choudry, Kamil Rocki, Atılım Güneş Baydin, Carina Prunkl, Brooks Paige, Olexandr Isayev, Erik Peterson, Peter L. McMahon, Jakob Macke, Kyle Cranmer, Jiaxin Zhang, Haruko Wainwright, Adi Hanuka, Manuela Veloso, Samuel Assefa, Stephan Zheng, Avi Pfeffer

Add code


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

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


Aug 31, 2021
Tian Lan, Sunil Srinivasa, Stephan Zheng

Add code

* TL and SS contributed equally. Code is available at https://www.github.com/salesforce/warp-drive. 14 pages, 7 figures 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

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


Aug 06, 2021
Alexander Trott, Sunil Srinivasa, Douwe van der Wal, Sebastien Haneuse, Stephan Zheng

Add code

* 41 pages, 14 figures. AT, SS, and SZ contributed equally 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

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


Aug 05, 2021
Stephan Zheng, Alexander Trott, Sunil Srinivasa, David C. Parkes, Richard Socher

Add code

* Substantial Extension of https://arxiv.org/abs/2004.13332. SZ and AT contributed equally 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

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


Jun 10, 2021
Eric Zhao, Alexander R. Trott, Caiming Xiong, Stephan Zheng

Add code


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Robustness Gym: Unifying the NLP Evaluation Landscape


Jan 13, 2021
Karan Goel, Nazneen Rajani, Jesse Vig, Samson Tan, Jason Wu, Stephan Zheng, Caiming Xiong, Mohit Bansal, Christopher Ré

Add code

* 34 pages, 8 figures, 6 tables 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

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


Dec 11, 2020
Ian Foster, David Parkes, Stephan Zheng

Add code

* A Computing Community Consortium (CCC) white paper, 4 pages 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email
1
2
3
>>