Subramanian, Sriram Ganapathi

10 publications

TMLR 2025 A Comprehensive Survey on Inverse Constrained Reinforcement Learning: Definitions, Progress and Challenges Guiliang Liu, Sheng Xu, Shicheng Liu, Ashish Gaurav, Sriram Ganapathi Subramanian, Pascal Poupart

NeurIPS 2025 Evaluating Generalization Capabilities of LLM-Based Agents in Mixed-Motive Scenarios Using Concordia Chandler Smith, Marwa Abdulhai, Manfred Diaz, Marko Tesic, Rakshit Trivedi, Sasha Vezhnevets, Lewis Hammond, Jesse Clifton, Minsuk Chang, Edgar A. Duéñez-Guzmán, John P Agapiou, Jayd Matyas, Danny Karmon, Beining Zhang, Jim Dilkes, Akash Kundu, Jord Nguyen, Emanuel Tewolde, Jebish Purbey, Ram Mohan Rao Kadiyala, Siddhant Gupta, Aliaksei Korshuk, Buyantuev Alexander, Ilya Makarov, Gang Zhao, Rolando Fernandez, Zhihan Wang, Caroline Wang, Jiaxun Cui, Lingyun Xiao, Di Yang Shi, Yoonchang Sung, Arrasy Rahman, Peter Stone, Yipeng Kang, Hyeonggeun Yun, Ananya Ananya, Taehun Cha, Zhiqiang Wu, Elizaveta Tennant, Olivia Macmillan-Scott, Marta Emili García Segura, Diana Riazi, Fuyang Cui, Sriram Ganapathi Subramanian, Toryn Q. Klassen, Nico Schiavone, Mogtaba Alim, Sheila A. McIlraith, Manuel Sebastian Rios Beltran, Oswaldo Peña, Carlos Saith Rodriguez Rojas, Manuela Chacon-Chamorro, Ruben Manrique, Luis Felipe Giraldo, Nicanor Quijano, Yiding Wang, Yuxuan Chen, Fangwei Zhong, Mengmeng Wang, Wenming Tu, Zhaowei Zhang, Ziang Chen, Zixia Jia, Xue Feng, Zilong Zheng, Chichen Lin, Weijian Fan, Chenao Liu, Sneheel Sarangi, Ziyan Wang, Shuqing Shi, Yali Du, Avinaash Anand Kulandaivel, Yang Liu, Wu Ruiyang, Chetan Talele, 陆孙嘉, Gema Parreño Piqueras, Shamika Dhuri, Bain McHale, Tim Baarslag, Dylan Hadfield-Menell, Natasha Jaques, Jose Hernandez-Orallo, Joel Z Leibo

AISTATS 2025 Learning to Negotiate via Voluntary Commitment Shuhui Zhu, Baoxiang Wang, Sriram Ganapathi Subramanian, Pascal Poupart

NeurIPSW 2023 ChemGymRL: An Interactive Framework for Reinforcement Learning for Digital Chemistry Chris Beeler, Sriram Ganapathi Subramanian, Kyle Sprague, Colin Bellinger, Mark Crowley, Isaac Tamblyn

NeurIPSW 2023 Demonstrating ChemGymRL: An Interactive Framework for Reinforcement Learning for Digital Chemistry Chris Beeler, Sriram Ganapathi Subramanian, Kyle Sprague, Colin Bellinger, Mark Crowley, Isaac Tamblyn

IJCAI 2023 Multi-Agent Advisor Q-Learning (Extended Abstract) Sriram Ganapathi Subramanian, Matthew E. Taylor, Kate Larson, Mark Crowley

TMLR 2023 Two-Level Actor-Critic Using Multiple Teachers Su Zhang, Srijita Das, Sriram Ganapathi Subramanian, Matthew E. Taylor

AAAI 2022 Decentralized Mean Field Games Sriram Ganapathi Subramanian, Matthew E. Taylor, Mark Crowley, Pascal Poupart

JAIR 2022 Multi-Agent Advisor Q-Learning Sriram Ganapathi Subramanian, Matthew E. Taylor, Kate Larson, Mark Crowley

NeurIPSW 2021 Investigation of Independent Reinforcement Learning Algorithms in Multi-Agent Environments Ken Ming Lee, Sriram Ganapathi Subramanian, Mark Crowley