%0 Conference Paper %B AAAI Conference on Artificial Intelligence (2022), Vancouver, BC, Canada %D 2022 %T Decentralized Mean Field Games %A Sriram Ganapathi Subramanian %A Matthew E. Taylor %A Mark Crowley %A Pascal Poupart %B AAAI Conference on Artificial Intelligence (2022), Vancouver, BC, Canada %I AAAI press %G eng %U https://arxiv.org/pdf/2112.09099.pdf %0 Journal Article %J Journal of Aritificial Intelligence Research (JAIR) %D 2022 %T Multi-Agent Advisor Q-Learning %A Sriram Ganapathi Subramanian %A Matthew E. Taylor %A Kate Larson %A Mark Crowley %B Journal of Aritificial Intelligence Research (JAIR) %V 74 %P 1--74 %G eng %U https://jair.org/index.php/jair/article/view/13445/26794 %0 Conference Paper %B International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 2021), London, UK - Adaptive Learning Agents Workshop %D 2021 %T The Effect of Q-function Reuse on the Total Regret of Tabular, Model-Free, Reinforcement Learning %A Volodymyr Tkachuk %A Sriram Ganapathi Subramanian %A Matthew E Taylor %B International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 2021), London, UK - Adaptive Learning Agents Workshop %G eng %U https://arxiv.org/pdf/2103.04416.pdf %0 Conference Paper %B Neural Information Processing Systems (NeurIPS) - Deep Reinforcement Learning workshop %D 2021 %T Investigation of Independent Reinforcement Learning Algorithms in Multi-Agent Environments %A Ken Ming Lee %A Sriram Ganapathi Subramanian %A Mark Crowley %B Neural Information Processing Systems (NeurIPS) - Deep Reinforcement Learning workshop %G eng %U https://arxiv.org/pdf/2111.01100.pdf %0 Conference Paper %B International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 2021), London, UK %D 2021 %T Partially Observable Mean Field Reinforcement Learning %A Sriram Ganapathi Subramanian %A Matthew E. Taylor %A Mark Crowley %A Pascal Poupart %B International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 2021), London, UK %G eng %U https://arxiv.org/pdf/2012.15791.pdf %0 Conference Paper %B Canadian AI %D 2020 %T Deep Multi Agent Reinforcement Learning for Autonomous Driving %A Sushrut Bhalla %A Sriram Ganapathi Subramanian %A Mark Crowley %B Canadian AI %I Springer LNCS %G eng %U https://link.springer.com/chapter/10.1007/978-3-030-47358-7_7 %0 Conference Paper %B Deep Reinforcement Learning Workshop %D 2020 %T Maximum Reward Formulation In Reinforcement Learning %A Sai Krishna Gottipati %A Yashaswi Pathak %A Rohan Nuttall %A Sahir %A Raviteja Chunduru %A Ahmed Touati %A Sriram Ganapathi Subramanian %A Matthew E. Taylor %A Sarath Chandar %B Deep Reinforcement Learning Workshop %I NeurIPS 2020 %G eng %U https://arxiv.org/pdf/2010.03744.pdf %0 Conference Paper %B International Conference on Autonomous Agents and Multi agent Systems (AAMAS 2020), Aukland, New Zealand %D 2020 %T Multi Type Mean Field Reinforcement Learning %A Sriram Ganapathi Subramanian %A Pascal Poupart %A Matthew E. Taylor %A Nidhi Hegde %B International Conference on Autonomous Agents and Multi agent Systems (AAMAS 2020), Aukland, New Zealand %I IFAAMAS %C AAMAS 2020, Aukland, New Zealand %G eng %U https://arxiv.org/pdf/2002.02513.pdf %0 Generic %D 2020 %T A review of machine learning applications in wildfire science and management %A Piyush Jain %A Sean C P Coogan %A Sriram Ganapathi Subramanian %A Mark Crowley %A Steve Taylor %A Mike D Flannigan %B Environmental Reviews %G eng %U https://arxiv.org/pdf/2003.00646.pdf %0 Conference Paper %B Conference on Reinforcement Learning and Decision Making %D 2019 %T Learning Multi-Agent Communication with Reinforcement Learning %A Sushrut Bhalla %A Sriram Ganapathi Subramanian %A Mark Crowley %B Conference on Reinforcement Learning and Decision Making %G eng %U http://rldm.org/papers/abstracts.pdf %0 Conference Paper %B Conference on Reinforcement Learning and Decision Making %D 2019 %T Multi Type Mean Field Reinforcement Learning %A Sriram Ganapathi Subramanian %A Pascal Poupart %A Matt Taylor %A Nidhi Hegde %B Conference on Reinforcement Learning and Decision Making %G eng %U http://rldm.org/papers/abstracts.pdf %0 Conference Paper %B International Conference on Autonomous Agents and Multiagent System (AAMAS 2019), Montreal, Canada %D 2019 %T Training Cooperative Agents for Multi-Agent Reinforcement Learning %A Sushruth Bhalla %A Sriram Ganapathi Subramanian %A Mark Crowley %B International Conference on Autonomous Agents and Multiagent System (AAMAS 2019), Montreal, Canada %G eng %U http://www.ifaamas.org/Proceedings/aamas2019/pdfs/p1826.pdf %0 Conference Paper %B 31st Canadian Conference on Artificial Intelligence, Toronto %D 2018 %T Combining MCTS and A3C for Prediction of Spatially Spreading Processes in Forest Wildfire Setting %A Sriram Ganapathi Subramanian %A Mark Crowley %B 31st Canadian Conference on Artificial Intelligence, Toronto %I Springer %P 285-291 %G eng %U https://link.springer.com/chapter/10.1007/978-3-319-89656-4_28 %0 Conference Paper %B Neural Information Processing Systems (AI for social good workshop) %D 2018 %T A Complementary Approach to Improve WildFire Prediction Systems. %A Sriram Ganapathi Subramanian %A Mark Crowley %B Neural Information Processing Systems (AI for social good workshop) %C NeurIPS %G eng %U https://aiforsocialgood.github.io/2018/pdfs/track1/37_aisg_neurips2018.pdf %0 Conference Paper %B 31st Canadian Conference on Artificial Intelligence, Toronto %D 2018 %T Decision Assist For Self-Driving Cars %A Sriram Ganapathi Subramanian %A Benyamin Ghojogh %A Jaspreet Singh Sambee %A Mark Crowley %B 31st Canadian Conference on Artificial Intelligence, Toronto %I Springer %P 381 - 387 %G eng %U https://link.springer.com/chapter/10.1007/978-3-319-89656-4_44 %0 Thesis %B Electrical and Computer Engineering, University of Waterloo %D 2018 %T Reinforcement Learning for Determining Spread Dynamics of Spatially Spreading Processes with Emphasis on Forest Fires %A Sriram Ganapathi Subramanian %B Electrical and Computer Engineering, University of Waterloo %G eng %U http://hdl.handle.net/10012/13148 %9 Masters %0 Journal Article %J Journal of Frontiers in ICT- Environmental Informatics %D 2018 %T Using Spatial Reinforcement Learning to Build Forest Wildfire Dynamics Models from Satellite Images %A Sriram Ganapathi Subramanian %A Mark Crowley %B Journal of Frontiers in ICT- Environmental Informatics %G eng %U https://www.frontiersin.org/articles/10.3389/fict.2018.00006/full?&utm_source=Email_to_authors_&utm_medium=Email&utm_content=T1_11.5e1_author&utm_campaign=Email_publication&field=&journalName=Frontiers_in_ICT&id=334036 %0 Conference Paper %B Conference on Reinforcement Learning and Decision Making %D 2017 %T Learning Forest Wildfire Dynamics from Satellite Images using Reinforcement Learning %A Sriram Ganapathi Subramanian %A Mark Crowley %B Conference on Reinforcement Learning and Decision Making %C Conference on Reinforcement Learning and Decision Making, Ann Arbor, MI, USA %P 244-248 %G eng %U http://www.princeton.edu/~ndaw/RLDM17ExtendedAbstracts.pdf %0 Conference Paper %B Innovations in Marine Electrical and Electronics Engineering %D 2015 %T Spatial Decision Support System for Industrial Robots %A Sriram Ganapathi Subramanian %A Amrith Ganesh. P %B Innovations in Marine Electrical and Electronics Engineering %C International Conference on Innovations in Marine Electrical and Electronics Engineering, Chennai, Tamil Nadu, India, %G eng %U https://uwaterloo.ca/scholar/sites/ca.scholar/files/s2ganapa/files/paper29.pdf