Using Reinforcement Learning to Manage Communications Between Humans and Artificial Agents in an Evacuation Scenario. - Skanda Vaidyanath; Kallirroi Georgila; David R. Traum (FLAIRS, 2020)

Jigsaw: Large Language Models meet Program Synthesis. - Naman Jain; Skanda Vaidyanath; Arun Iyer; Nagarajan Natarajan; Suresh Parthasarathy; Sriram K. Rajamani; Rahul Sharma 001 (ICSE, 2022)

LISA: Learning Interpretable Skill Abstractions from Language. - Divyansh Garg; Skanda Vaidyanath; Kuno Kim; Jiaming Song; Stefano Ermon (NeurIPS, 2022)

PushWorld: A benchmark for manipulation planning with tools and movable obstacles. - Ken Kansky; Skanda Vaidyanath; Scott Swingle; Xinghua Lou; Miguel Lázaro-Gredilla; Dileep George (CoRR, 2023)

Hindsight-DICE: Stable Credit Assignment for Deep Reinforcement Learning. - Akash Velu; Skanda Vaidyanath; Dilip Arumugam (CoRR, 2023)

Differentiable Weight Masks for Domain Transfer. - Samar Khanna; Skanda Vaidyanath; Akash Velu (CoRR, 2023)

WILT: A Multi-Turn, Memorization-Robust Inductive Logic Benchmark for LLMs. - Eryk Banatt; Jonathan Cheng; Skanda Vaidyanath; Tiffany Hwu (CoRR, 2024)