Sai Krishna Gottipati

According to our database, Sai Krishna Gottipati authored at least 13 papers between 2019 and 2024.

Collaborative distances:

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

2024

Generative Active Learning for the Search of Small-molecule Protein Binders.

Maksym Korablyov, Cheng-Hao Liu, Moksh Jain, Almer M. van der Sloot, Eric Jolicoeur, Edward Ruediger, Andrei Cristian Nica, Emmanuel Bengio, Kostiantyn Lapchevskyi, Daniel St-Cyr, Doris Alexandra Schuetz, Victor Ion Butoi, Jarrid Rector-Brooks, Simon Blackburn, Leo Feng, Hadi Nekoei, Sai Krishna Gottipati, Priyesh Vijayan, Prateek Gupta, Ladislav Rampásek, Sasikanth Avancha, Pierre-Luc Bacon, William L. Hamilton, Brooks Paige, Sanchit Misra, Stanislaw Kamil Jastrzebski, Bharat Kaul, Doina Precup, José Miguel Hernández-Lobato, Marwin H. S. Segler, Michael M. Bronstein, Anne Marinier, Mike Tyers, Yoshua Bengio

CoRR, 2024

GLIDE-RL: Grounded Language Instruction through DEmonstration in RL.

Chaitanya Kharyal, Sai Krishna Gottipati, Tanmay Kumar Sinha, Srijita Das, Matthew E. Taylor

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

Human-AI Collaboration in Real-World Complex Environment with Reinforcement Learning.

Md Saiful Islam, Srijita Das, Sai Krishna Gottipati, William Duguay, Clodéric Mars, Jalal Arabneydi, Antoine Fagette, Matthew Guzdial, Matthew E. Taylor

CoRR, 2023

Curriculum Learning for Cooperation in Multi-Agent Reinforcement Learning.

Rupali Bhati, Sai Krishna Gottipati, Clodéric Mars, Matthew E. Taylor

CoRR, 2023

Human-Machine Teaming for UAVs: An Experimentation Platform.

Laila El Moujtahid, Sai Krishna Gottipati, Clodéric Mars, Matthew E. Taylor

CoRR, 2023

Do As You Teach: A Multi-Teacher Approach to Self-Play in Deep Reinforcement Learning.

Chaitanya Kharyal, Tanmay Kumar Sinha, Sai Krishna Gottipati, Fatemeh Abdollahi, Srijita Das, Matthew E. Taylor

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

Hiking up that HILL with Cogment-Verse: Train & Operate Multi-agent Systems Learning from Humans.

Sai Krishna Gottipati, Luong-Ha Nguyen, Clodéric Mars, Matthew E. Taylor

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

2021

Cogment: Open Source Framework For Distributed Multi-actor Training, Deployment & Operations.

A. I. Redefined, Sai Krishna Gottipati, Sagar Kurandwad, Clodéric Mars, Gregory Szriftgiser, François Chabot

CoRR, 2021

Towered Actor Critic For Handling Multiple Action Types In Reinforcement Learning For Drug Discovery.

Sai Krishna Gottipati, Yashaswi Pathak, Boris Sattarov, Sahir, Rohan Nuttall, Mohammad Amini, Matthew E. Taylor, Sarath Chandar

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

MapLite: Autonomous Intersection Navigation Without a Detailed Prior Map.

Teddy Ort, Krishna Murthy, Rohan Banerjee, Sai Krishna Gottipati, Dhaivat Bhatt, Igor Gilitschenski, Liam Paull, Daniela Rus

IEEE Robotics Autom. Lett., 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

Learning to Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning.

Sai Krishna Gottipati, Boris Sattarov, Sufeng Niu, Yashaswi Pathak, Haoran Wei, Shengchao Liu, Simon Blackburn, Karam M. J. Thomas, Connor W. Coley, Jian Tang, Sarath Chandar, Yoshua Bengio

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Deep Active Localization.

Sai Krishna Gottipati, Keehong Seo, Dhaivat Bhatt, Vincent Mai, Krishna Murthy, Liam Paull

IEEE Robotics Autom. Lett., 2019