Sriram Ganapathi Subramanian

According to our database, Sriram Ganapathi Subramanian authored at least 17 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

ChemGymRL: An Interactive Framework for Reinforcement Learning for Digital Chemistry.

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

CoRR, 2023

Multi-Agent Advisor Q-Learning (Extended Abstract).

Sriram Ganapathi Subramanian, Matthew E. Taylor, Kate Larson, Mark Crowley

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Two-Level Actor-Critic Using Multiple Teachers.

Su Zhang, Srijita Das, Sriram Ganapathi Subramanian, Matthew E. Taylor

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Learning from Multiple Independent Advisors in Multi-agent Reinforcement Learning.

Sriram Ganapathi Subramanian, Matthew E. Taylor, Kate Larson, Mark Crowley

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

Multi-Agent Advisor Q-Learning.

Sriram Ganapathi Subramanian, Matthew E. Taylor, Kate Larson, Mark Crowley

J. Artif. Intell. Res., 2022

Investigation of independent reinforcement learning algorithms in multi-agent environments.

Ken Ming Lee, Sriram Ganapathi Subramanian, Mark Crowley

Frontiers Artif. Intell., 2022

Decentralized Mean Field Games.

Sriram Ganapathi Subramanian, Matthew E. Taylor, Mark Crowley, Pascal Poupart

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

The Effect of Q-function Reuse on the Total Regret of Tabular, Model-Free, Reinforcement Learning.

Volodymyr Tkachuk, Sriram Ganapathi Subramanian, Matthew E. Taylor

CoRR, 2021

Partially Observable Mean Field Reinforcement Learning.

Sriram Ganapathi Subramanian, Matthew E. Taylor, Mark Crowley, Pascal Poupart

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020

Maximum Reward Formulation In Reinforcement Learning.

Sai Krishna Gottipati, Yashaswi Pathak, Rohan Nuttall, Sahir, Raviteja Chunduru, Ahmed Touati, Sriram Ganapathi Subramanian, Matthew E. Taylor, Sarath Chandar

CoRR, 2020

A review of machine learning applications in wildfire science and management.

Piyush Jain, Sean C. P. Coogan, Sriram Ganapathi Subramanian, Mark Crowley, Steve Taylor, Mike D. Flannigan

CoRR, 2020

Multi Type Mean Field Reinforcement Learning.

Sriram Ganapathi Subramanian, Pascal Poupart, Matthew E. Taylor, Nidhi Hegde

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Deep Multi Agent Reinforcement Learning for Autonomous Driving.

Sushrut Bhalla, Sriram Ganapathi Subramanian, Mark Crowley

Proceedings of the Advances in Artificial Intelligence, 2020

2019

Training Cooperative Agents for Multi-Agent Reinforcement Learning.

Sushrut Bhalla, Sriram Ganapathi Subramanian, Mark Crowley

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018

Using Spatial Reinforcement Learning to Build Forest Wildfire Dynamics Models From Satellite Images.

Sriram Ganapathi Subramanian, Mark Crowley

Frontiers ICT, 2018

Decision Assist for Self-driving Cars.

Sriram Ganapathi Subramanian, Jaspreet Singh Sambee, Benyamin Ghojogh, Mark Crowley

Proceedings of the Advances in Artificial Intelligence, 2018

Combining MCTS and A3C for Prediction of Spatially Spreading Processes in Forest Wildfire Settings.

Sriram Ganapathi Subramanian, Mark Crowley

Proceedings of the Advances in Artificial Intelligence, 2018