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cs.LG2026
REVERSAL-BENCH: A Reversibility Axis and Reset Oracle for Measuring the Reset-Free RL Cliff
Riyaaz Shaik, Chandru Venkataraman
A central goal of autonomous reinforcement learning is continuous policy training without external resets. However, existing paradigms largely depend on underlying environmental re…
cs.LG2026
REFACTOR-VLA: Unsupervised Library Learning of Typed Motor Programs
Riyaaz Shaik, Chandru Venkataraman
Most vision-language-action (VLA) models -- OpenVLA, , RT-2, RDT-1B -- are monolithic: they emit raw motor commands or short action chunks without organizing behavior into reu…
cs.LG2022★ 3 cited
Learning Compressed Embeddings for On-Device Inference
Niketan Pansare, Jay Katukuri, Aditya Arora +4
In deep learning, embeddings are widely used to represent categorical entities such as words, apps, and movies. An embedding layer maps each entity to a unique vector, causing the…