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Sriram Ganapathi Subramanian
Sriram Ganapathi Subramanian
在 uwaterloo.ca 的电子邮件经过验证 - 首页
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引用次数
引用次数
年份
A review of machine learning applications in wildfire science and management
P Jain, SCP Coogan, SG Subramanian, M Crowley, S Taylor, ...
Environmental Reviews 28 (4), 478-505, 2020
5762020
Multi type mean field reinforcement learning
SG Subramanian, P Poupart, ME Taylor, N Hegde
Proceedings of the 2020 International Conference on Autonomous Agents and …, 2020
692020
Deep multi agent reinforcement learning for autonomous driving
S Bhalla, S Ganapathi Subramanian, M Crowley
Canadian Conference on Artificial Intelligence, 67-78, 2020
672020
Using spatial reinforcement learning to build forest wildfire dynamics models from satellite images
S Ganapathi Subramanian, M Crowley
Frontiers in ICT 5, 6, 2018
602018
Calendar graph neural networks for modeling time structures in spatiotemporal user behaviors
D Wang, M Jiang, M Syed, O Conway, V Juneja, S Subramanian, ...
Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020
492020
Partially observable mean field reinforcement learning
SG Subramanian, ME Taylor, M Crowley, P Poupart
Proceedings of the 2021 International Conference on Autonomous Agents and …, 2020
302020
Learning forest wildfire dynamics from satellite images using reinforcement learning
SG Subramanian, M Crowley
Conference on reinforcement learning and decision making, 2017
262017
Decentralized mean field games
SG Subramanian, ME Taylor, M Crowley, P Poupart
Proceedings of the AAAI Conference on Artificial Intelligence 36 (9), 9439-9447, 2022
172022
Investigating TCP performance issues in satellite networks
S Subramanian, S Sivakumar, WJ Phillips, W Robertson
3rd Annual Communication Networks and Services Research Conference (CNSR'05 …, 2005
162005
Combining MCTS and A3C for prediction of spatially spreading processes in forest wildfire settings
S Ganapathi Subramanian, M Crowley
Advances in Artificial Intelligence: 31st Canadian Conference on Artificial …, 2018
152018
A deep reinforcement learning chatbot. arXiv 2017
IV Serban, C Sankar, M Germain, S Zhang, Z Lin, S Subramanian, T Kim, ...
arXiv preprint arXiv:1709.02349, 2023
142023
Maximum reward formulation in reinforcement learning
SK Gottipati, Y Pathak, R Nuttall, R Chunduru, A Touati, SG Subramanian, ...
arXiv preprint arXiv:2010.03744, 2020
142020
Investigation of independent reinforcement learning algorithms in multi-agent environments
KM Lee, S Ganapathi Subramanian, M Crowley
Frontiers in Artificial Intelligence 5, 805823, 2022
122022
Multi-agent advisor Q-learning
SG Subramanian, ME Taylor, K Larson, M Crowley
Journal of Artificial Intelligence Research 74, 1-74, 2022
122022
Chemgymrl: An interactive framework for reinforcement learning for digital chemistry
C Beeler, SG Subramanian, K Sprague, N Chatti, C Bellinger, M Shahen, ...
arXiv preprint arXiv:2305.14177, 2023
72023
Training Cooperative Agents for Multi-Agent Reinforcement Learning.
S Bhalla, SG Subramanian, M Crowley
AAMAS, 1826-1828, 2019
62019
A review of machine learning applications in wildfire science and management. arXiv 2020
P Jain, SCP Coogan, SG Subramanian, M Crowley, S Taylor, ...
arXiv preprint arXiv:2003.00646, 0
6
Learning from Multiple Independent Advisors in Multi-agent Reinforcement Learning
SG Subramanian, ME Taylor, K Larson, M Crowley
arXiv preprint arXiv:2301.11153, 2023
42023
System and method for multi-type mean field reinforcement machine learning
SG Subramanian, P Poupart, ME Taylor, N Hegde
US Patent App. 16/804,593, 2020
42020
Confidence aware inverse constrained reinforcement learning
SG Subramanian, G Liu, M Elmahgiubi, K Rezaee, P Poupart
arXiv preprint arXiv:2406.16782, 2024
22024
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