FedCD: Improving Performance in non-IID Federated Learning. - Kavya Kopparapu; Eric Lin; Jessica Zhao (CoRR, 2020)

FedFMC: Sequential Efficient Federated Learning on Non-iid Data. - Kavya Kopparapu; Eric Lin (CoRR, 2020)

TinyFedTL: Federated Transfer Learning on Tiny Devices. - Kavya Kopparapu; Eric Lin (CoRR, 2021)

TinyFedTL: Federated Transfer Learning on Ubiquitous Tiny IoT Devices. - Kavya Kopparapu; Eric Lin; John G. Breslin; Bharath Sudharsan (PerCom Workshops, 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 001; Janusz Marecki; Joel Z. Leibo; Thore Graepel (CoRR, 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; et al. (CoRR, 2022)

Hierarchical reinforcement learning with natural language subgoals. - Arun Ahuja; Kavya Kopparapu; Rob Fergus; Ishita Dasgupta 001 (CoRR, 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; et al. (CoRR, 2023)

Scaling Instructable Agents Across Many Simulated Worlds. - SIMA Team; Maria Abi Raad; Arun Ahuja; Catarina Barros; Frederic Besse; Andrew Bolt; Adrian Bolton; Bethanie Brownfield; Gavin Buttimore; Max Cant; Sarah Chakera; Stephanie C. Y. Chan; et al. (CoRR, 2024)