Sunil Srinivasa

Publication Activity (10 Years)

Years Active: 2006-2023
Publications (10 Years): 9

Top Topics

Storage Systems

Reinforcement Learning

Gradient Ascent

Top Venues

Ad Hoc Networks

J. Mach. Learn. Res.

Publications

Yoshua Bengio, Prateek Gupta, Lu Li, Soham Phade, Sunil Srinivasa, Andrew Williams, Tianyu Zhang, Yang Zhang, Stephan Zheng
AI For Global Climate Cooperation 2023 Competition Proceedings. CoRR (2023)
Tian Lan, Sunil Srinivasa, Huan Wang, Stephan Zheng
WarpDrive: Fast End-to-End Deep Multi-Agent Reinforcement Learning on a GPU. J. Mach. Learn. Res. 23 (2022)
Tianyu Zhang, Andrew Williams, Soham Phade, Sunil Srinivasa, Yang Zhang, Prateek Gupta, Yoshua Bengio, Stephan Zheng
AI for Global Climate Cooperation: Modeling Global Climate Negotiations, Agreements, and Long-Term Cooperation in RICE-N. CoRR (2022)
Tian Lan, Sunil Srinivasa, Stephan Zheng
WarpDrive: Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning on a GPU. CoRR (2021)
Stephan Zheng, Alexander Trott, Sunil Srinivasa, David C. Parkes, Richard Socher
The AI Economist: Optimal Economic Policy Design via Two-level Deep Reinforcement Learning. CoRR (2021)
Alexander Trott, Sunil Srinivasa, Douwe van der Wal, Sebastien Haneuse, Stephan Zheng
Building a Foundation for Data-Driven, Interpretable, and Robust Policy Design using the AI Economist. CoRR (2021)
Stephan Zheng, Alexander Trott, Sunil Srinivasa, Nikhil Naik, Melvin Gruesbeck, David C. Parkes, Richard Socher
The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies. CoRR (2020)
Sunil Srinivasa, Girish Kathalagiri, Julu Subramanyam Varanasi, Luis Carlos Quintela, Mohamad Charafeddine, Chi-Hoon Lee
On Optimizing Operational Efficiency in Storage Systems via Deep Reinforcement Learning. ECML/PKDD (3) (2018)
Nithyanand Kota, Abhishek Mishra, Sunil Srinivasa, Xi Chen, Pieter Abbeel
A K-fold Method for Baseline Estimation in Policy Gradient Algorithms. CoRR (2017)
Sunil Srinivasa, Martin Haenggi
Combining stochastic geometry and statistical mechanics for the analysis and design of mesh networks. Ad Hoc Networks 13 (2014)
Sundaram Vanka, Sunil Srinivasa, Martin Haenggi
A practical approach to strengthen vulnerable downlinks using superposition coding. ICC (2012)
Sundaram Vanka, Sunil Srinivasa, Zhenhua Gong, Peter Vizi, Kostas Stamatiou, Martin Haenggi
Superposition Coding Strategies: Design and Experimental Evaluation. IEEE Trans. Wirel. Commun. 11 (7) (2012)
Sunil Srinivasa, Martin Haenggi
A Statistical Mechanics-Based Framework to Analyze Ad Hoc Networks with Random Access. IEEE Trans. Mob. Comput. 11 (4) (2012)
Sunil Srinivasa, Martin Haenggi
The TASEP: A Statistical Mechanics Tool to Study the Performance of Wireless Line Networks. ICCCN (2010)
Sunil Srinivasa, Martin Haenggi
Throughput-delay-reliability tradeoffs in multihop networks with random access. Allerton (2010)
Sunil Srinivasa, Martin Haenggi
Distance Distributions in Finite Uniformly Random Networks: Theory and Applications. IEEE Trans. Veh. Technol. 59 (2) (2010)
Radha Krishna Ganti, Zhenhua Gong, Martin Haenggi, Chia-han Lee, Sunil Srinivasa, David Tisza, Sundaram Vanka, Peter Vizi
Implementation and Experimental Results of Superposition Coding on Software Radio. ICC (2010)
Sunil Srinivasa, Sudha Krishnamurthy
CREST: An Opportunistic Forwarding Protocol Based on Conditional Residual Time. SECON (2009)
Sunil Srinivasa, Syed Ali Jafar
The Optimality of Transmit Beamforming: A Unified View. IEEE Trans. Inf. Theory 53 (4) (2007)
Sunil Srinivasa, Martin Haenggi
Simplified Analysis and Design of MIMO Ad Hoc Networks. GLOBECOM (2006)