Sunil Srinivasa

21 papers A* 1B 3Journal 13Unranked 4
YearRankTypeTitle / Venue / Authors
2025 A* conf
AI for Global Climate Cooperation: Modeling Global Climate Negotiations, Agreements, and Long-Term Cooperation in RICE-N.
ICML
Tianyu Zhang, Andrew Robert Williams, Phillip Wozny, Kai-Hendrik Cohrs, Koen Ponse, Marco Jiralerspong, Soham R. Phade, Sunil Srinivasa, Lu Li, Yang Zhang, Prateek Gupta, Erman Acar, Irina Rish, Yoshua Bengio, Stephan Zheng
2023 J jnl
AI For Global Climate Cooperation 2023 Competition Proceedings.
CoRR
Yoshua Bengio, Prateek Gupta, Lu Li, Soham Phade, Sunil Srinivasa, Andrew Williams, Tianyu Zhang, Yang Zhang, Stephan Zheng
2022 J jnl
AI for Global Climate Cooperation: Modeling Global Climate Negotiations, Agreements, and Long-Term Cooperation in RICE-N.
CoRR
Tianyu Zhang, Andrew Williams, Soham Phade, Sunil Srinivasa, Yang Zhang, Prateek Gupta, Yoshua Bengio, Stephan Zheng
2022 J jnl
WarpDrive: Fast End-to-End Deep Multi-Agent Reinforcement Learning on a GPU.
J. Mach. Learn. Res.
Tian Lan, Sunil Srinivasa, Huan Wang, Stephan Zheng
2021 J jnl
Building a Foundation for Data-Driven, Interpretable, and Robust Policy Design using the AI Economist.
CoRR
Alexander Trott, Sunil Srinivasa, Douwe van der Wal, Sebastien Haneuse, Stephan Zheng
2021 J jnl
The AI Economist: Optimal Economic Policy Design via Two-level Deep Reinforcement Learning.
CoRR
Stephan Zheng, Alexander Trott, Sunil Srinivasa, David C. Parkes, Richard Socher
2021 J jnl
WarpDrive: Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning on a GPU.
CoRR
Tian Lan, Sunil Srinivasa, Stephan Zheng
2020 J jnl
The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies.
CoRR
Stephan Zheng, Alexander Trott, Sunil Srinivasa, Nikhil Naik, Melvin Gruesbeck, David C. Parkes, Richard Socher
2018 — conf
On Optimizing Operational Efficiency in Storage Systems via Deep Reinforcement Learning.
ECML/PKDD (3)
Sunil Srinivasa, Girish Kathalagiri, Julu Subramanyam Varanasi, Luis Carlos Quintela, Mohamad Charafeddine, Chi-Hoon Lee
2017 J jnl
A K-fold Method for Baseline Estimation in Policy Gradient Algorithms.
CoRR
Nithyanand Kota, Abhishek Mishra, Sunil Srinivasa, Xi Chen, Pieter Abbeel
2014 J jnl
Combining stochastic geometry and statistical mechanics for the analysis and design of mesh networks.
Ad Hoc Networks
Sunil Srinivasa, Martin Haenggi
2012 J jnl
A Statistical Mechanics-Based Framework to Analyze Ad Hoc Networks with Random Access.
IEEE Trans. Mob. Comput.
Sunil Srinivasa, Martin Haenggi
2012 — conf
A practical approach to strengthen vulnerable downlinks using superposition coding.
ICC
Sundaram Vanka, Sunil Srinivasa, Martin Haenggi
2012 J jnl
Superposition Coding Strategies: Design and Experimental Evaluation.
IEEE Trans. Wirel. Commun.
Sundaram Vanka, Sunil Srinivasa, Zhenhua Gong, Peter Vizi, Kostas Stamatiou, Martin Haenggi
2010 J jnl
Distance Distributions in Finite Uniformly Random Networks: Theory and Applications.
IEEE Trans. Veh. Technol.
Sunil Srinivasa, Martin Haenggi
2010 — conf
Implementation and Experimental Results of Superposition Coding on Software Radio.
ICC
Radha Krishna Ganti, Zhenhua Gong, Martin Haenggi, Chia-Han Lee, Sunil Srinivasa, David Tisza, Sundaram Vanka, Peter Vizi
2010 B conf
The TASEP: A Statistical Mechanics Tool to Study the Performance of Wireless Line Networks.
ICCCN
Sunil Srinivasa, Martin Haenggi
2010 — conf
Throughput-delay-reliability tradeoffs in multihop networks with random access.
Allerton
Sunil Srinivasa, Martin Haenggi
2009 B conf
CREST: An Opportunistic Forwarding Protocol Based on Conditional Residual Time.
SECON
Sunil Srinivasa, Sudha Krishnamurthy
2007 J jnl
The Optimality of Transmit Beamforming: A Unified View.
IEEE Trans. Inf. Theory
Sunil Srinivasa, Syed Ali Jafar
2006 B conf
Simplified Analysis and Design of MIMO Ad Hoc Networks.
GLOBECOM
Sunil Srinivasa, Martin Haenggi