Sai Krishna Gottipati

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 15

Top Topics

Function Approximation

Reinforcement Learning

Eligibility Traces

Top Venues

IEEE Robotics Autom. Lett.

Publications

Chaitanya Kharyal, Sai Krishna Gottipati, Tanmay Kumar Sinha, Srijita Das, Matthew E. Taylor
GLIDE-RL: Grounded Language Instruction through DEmonstration in RL. CoRR (2024)
Chaitanya Kharyal, Sai Krishna Gottipati, Tanmay Kumar Sinha, Srijita Das, Matthew E. Taylor
GLIDE-RL: Grounded Language Instruction through DEmonstration in RL. AAMAS (2024)
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
Generative Active Learning for the Search of Small-molecule Protein Binders. CoRR (2024)
Sai Krishna Gottipati, Luong-Ha Nguyen, Clodéric Mars, Matthew E. Taylor
Hiking up that HILL with Cogment-Verse: Train & Operate Multi-agent Systems Learning from Humans. AAMAS (2023)
Laila El Moujtahid, Sai Krishna Gottipati, Clodéric Mars, Matthew E. Taylor
Human-Machine Teaming for UAVs: An Experimentation Platform. CoRR (2023)
Md Saiful Islam, Srijita Das, Sai Krishna Gottipati, William Duguay, Clodéric Mars, Jalal Arabneydi, Antoine Fagette, Matthew Guzdial, Matthew E. Taylor
Human-AI Collaboration in Real-World Complex Environment with Reinforcement Learning. CoRR (2023)
Chaitanya Kharyal, Tanmay Sinha, Sai Krishna Gottipati, Fatemeh Abdollahi, Srijita Das, Matthew E. Taylor
Do As You Teach: A Multi-Teacher Approach to Self-Play in Deep Reinforcement Learning. AAMAS (2023)
Rupali Bhati, Sai Krishna Gottipati, Clodéric Mars, Matthew E. Taylor
Curriculum Learning for Cooperation in Multi-Agent Reinforcement Learning. CoRR (2023)
Sai Krishna Gottipati, Yashaswi Pathak, Boris Sattarov, Sahir, Rohan Nuttall, Mohammad Amini, Matthew E. Taylor, Sarath Chandar
Towered Actor Critic For Handling Multiple Action Types In Reinforcement Learning For Drug Discovery. AAAI (2021)
A. I. Redefined, Sai Krishna Gottipati, Sagar Kurandwad, Clodéric Mars, Gregory Szriftgiser, François Chabot
Cogment: Open Source Framework For Distributed Multi-actor Training, Deployment & Operations. CoRR (2021)
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
Learning to Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning. ICML (2020)
Teddy Ort, Krishna Murthy, Rohan Banerjee, Sai Krishna Gottipati, Dhaivat Bhatt, Igor Gilitschenski, Liam Paull, Daniela Rus
MapLite: Autonomous Intersection Navigation Without a Detailed Prior Map. IEEE Robotics Autom. Lett. 5 (2) (2020)
Sai Krishna Gottipati, Boris Sattarov, Sufeng Niu, Yashaswi Pathak, Haoran Wei, Shengchao Liu, Karam M. J. Thomas, Simon Blackburn, Connor W. Coley, Jian Tang, Sarath Chandar, Yoshua Bengio
Learning To Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning. CoRR (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)
Sai Krishna Gottipati, Keehong Seo, Dhaivat Bhatt, Vincent Mai, Krishna Murthy, Liam Paull
Deep Active Localization. IEEE Robotics Autom. Lett. 4 (4) (2019)