Kavya Kopparapu

According to our database, Kavya Kopparapu authored at least 8 papers between 2020 and 2023.

Collaborative distances:

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

2023

ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent.

Renat Aksitov, Sobhan Miryoosefi, Zonglin Li, Daliang Li, Sheila Babayan, Kavya Kopparapu, Zachary Fisher, Ruiqi Guo, Sushant Prakash, Pranesh Srinivasan, Manzil Zaheer, Felix X. Yu, Sanjiv Kumar

CoRR, 2023

Hierarchical reinforcement learning with natural language subgoals.

Arun Ahuja, Kavya Kopparapu, Rob Fergus, Ishita Dasgupta

CoRR, 2023

2022

Melting Pot 2.0.

John P. Agapiou, Alexander Sasha Vezhnevets, Edgar A. Duéñez-Guzmán, Jayd Matyas, Yiran Mao, Peter Sunehag, Raphael Köster, Udari Madhushani, Kavya Kopparapu, Ramona Comanescu, DJ Strouse, Michael Bradley Johanson, Sukhdeep Singh, Julia Haas, Igor Mordatch, Dean Mobbs, Joel Z. Leibo

CoRR, 2022

Hidden Agenda: a Social Deduction Game with Diverse Learned Equilibria.

Kavya Kopparapu, Edgar A. Duéñez-Guzmán, Jayd Matyas, Alexander Sasha Vezhnevets, John P. Agapiou, Kevin R. McKee, Richard Everett, Janusz Marecki, Joel Z. Leibo, Thore Graepel

CoRR, 2022

TinyFedTL: Federated Transfer Learning on Ubiquitous Tiny IoT Devices.

Kavya Kopparapu, Eric Lin, John G. Breslin, Bharath Sudharsan

Proceedings of the 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2022

2021

TinyFedTL: Federated Transfer Learning on Tiny Devices.

Kavya Kopparapu, Eric Lin

CoRR, 2021

2020

FedFMC: Sequential Efficient Federated Learning on Non-iid Data.

Kavya Kopparapu, Eric Lin

CoRR, 2020

FedCD: Improving Performance in non-IID Federated Learning.

Kavya Kopparapu, Eric Lin, Jessica Zhao

CoRR, 2020