Sriram Ganapathi Subramanian

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 26

Top Topics

Cooperative Agents

Partially Observable

American Football

Multiple Independent

Top Venues

Canadian Conference on AI

J. Artif. Intell. Res.

Publications

Sriram Ganapathi Subramanian, Guiliang Liu, Mohammed Elmahgiubi, Kasra Rezaee, Pascal Poupart
Confidence Aware Inverse Constrained Reinforcement Learning. CoRR (2024)
Agustinus Kristiadi, Felix Strieth-Kalthoff, Sriram Ganapathi Subramanian, Vincent Fortuin, Pascal Poupart, Geoff Pleiss
How Useful is Intermittent, Asynchronous Expert Feedback for Bayesian Optimization? CoRR (2024)
Chris Beeler, Sriram Ganapathi Subramanian, Kyle Sprague, Nouha Chatti, Colin Bellinger, Mitchell Shahen, Nicholas Paquin, Mark Baula, Amanuel Dawit, Zihan Yang, Xinkai Li, Mark Crowley, Isaac Tamblyn
ChemGymRL: An Interactive Framework for Reinforcement Learning for Digital Chemistry. CoRR (2023)
Sriram Ganapathi Subramanian, Matthew E. Taylor, Kate Larson, Mark Crowley
Learning from Multiple Independent Advisors in Multi-agent Reinforcement Learning. CoRR (2023)
Sriram Ganapathi Subramanian, Matthew E. Taylor, Kate Larson, Mark Crowley
Learning from Multiple Independent Advisors in Multi-agent Reinforcement Learning. AAMAS (2023)
Sriram Ganapathi Subramanian, Matthew E. Taylor, Kate Larson, Mark Crowley
Multi-Agent Advisor Q-Learning (Extended Abstract). IJCAI (2023)
Su Zhang, Srijita Das, Sriram Ganapathi Subramanian, Matthew E. Taylor
Two-Level Actor-Critic Using Multiple Teachers. Trans. Mach. Learn. Res. 2023 (2023)
Su Zhang, Srijita Das, Sriram Ganapathi Subramanian, Matthew E. Taylor
Two-Level Actor-Critic Using Multiple Teachers. AAMAS (2023)
Sriram Ganapathi Subramanian, Matthew E. Taylor, Kate Larson, Mark Crowley
Multi-Agent Advisor Q-Learning. J. Artif. Intell. Res. 74 (2022)
Sriram Ganapathi Subramanian, Matthew E. Taylor, Mark Crowley, Pascal Poupart
Decentralized Mean Field Games. AAAI (2022)
Ken Ming Lee, Sriram Ganapathi Subramanian, Mark Crowley
Investigation of independent reinforcement learning algorithms in multi-agent environments. Frontiers Artif. Intell. 5 (2022)
Volodymyr Tkachuk, Sriram Ganapathi Subramanian, Matthew E. Taylor
The Effect of Q-function Reuse on the Total Regret of Tabular, Model-Free, Reinforcement Learning. CoRR (2021)
Sriram Ganapathi Subramanian, Matthew E. Taylor, Kate Larson, Mark Crowley
Multi-Agent Advisor Q-Learning. CoRR (2021)
Sriram Ganapathi Subramanian, Matthew E. Taylor, Mark Crowley, Pascal Poupart
Partially Observable Mean Field Reinforcement Learning. AAMAS (2021)
Sriram Ganapathi Subramanian, Matthew E. Taylor, Mark Crowley, Pascal Poupart
Decentralized Mean Field Games. CoRR (2021)
Ken Ming Lee, Sriram Ganapathi Subramanian, Mark Crowley
Investigation of Independent Reinforcement Learning Algorithms in Multi-Agent Environments. CoRR (2021)
Sriram Ganapathi Subramanian, Pascal Poupart, Matthew E. Taylor, Nidhi Hegde
Multi Type Mean Field Reinforcement Learning. AAMAS (2020)
Piyush Jain, Sean C. P. Coogan, Sriram Ganapathi Subramanian, Mark Crowley, Steve Taylor, Mike D. Flannigan
A review of machine learning applications in wildfire science and management. CoRR (2020)
Sriram Ganapathi Subramanian, Pascal Poupart, Matthew E. Taylor, Nidhi Hegde
Multi Type Mean Field Reinforcement Learning. CoRR (2020)
Sriram Ganapathi Subramanian, Matthew E. Taylor, Mark Crowley, Pascal Poupart
Partially Observable Mean Field Reinforcement Learning. CoRR (2020)
Sushrut Bhalla, Sriram Ganapathi Subramanian, Mark Crowley
Deep Multi Agent Reinforcement Learning for Autonomous Driving. Canadian Conference on AI (2020)
Sai Krishna Gottipati, Yashaswi Pathak, Rohan Nuttall, Sahir, Raviteja Chunduru, Ahmed Touati, Sriram Ganapathi Subramanian, Matthew E. Taylor, Sarath Chandar
Maximum Reward Formulation In Reinforcement Learning. CoRR (2020)
Sushrut Bhalla, Sriram Ganapathi Subramanian, Mark Crowley
Training Cooperative Agents for Multi-Agent Reinforcement Learning. AAMAS (2019)
Sriram Ganapathi Subramanian, Mark Crowley
Combining MCTS and A3C for Prediction of Spatially Spreading Processes in Forest Wildfire Settings. Canadian Conference on AI (2018)
Sriram Ganapathi Subramanian, Jaspreet Singh Sambee, Benyamin Ghojogh, Mark Crowley
Decision Assist for Self-driving Cars. Canadian Conference on AI (2018)
Sriram Ganapathi Subramanian, Mark Crowley
Using Spatial Reinforcement Learning to Build Forest Wildfire Dynamics Models From Satellite Images. Frontiers ICT 5 (2018)