4 papers
Offline RL with Hierarchical Action Chunking
Ahad Jawaid
Offline goal-conditioned reinforcement learning (RL) holds the promise of learning general-purpose policies from static datasets. However, scaling these methods to long-horizon tas…
NAC: Neural Action Codec for Vision-Language-Action Models
Ahad Jawaid, Yu Xiang
Vision-language-action (VLA) models rely on discrete action tokenizers to bridge continuous robot control and autoregressive sequence modeling, yet existing tokenizers often trade…
OpenEgo: A Large-Scale Multimodal Egocentric Dataset for Dexterous Manipulation
Ahad Jawaid, Yu Xiang
Egocentric human videos provide scalable demonstrations for imitation learning, but existing corpora often lack either fine-grained, temporally localized action descriptions or dex…
Style Mixture of Experts for Expressive Text-To-Speech Synthesis
Ahad Jawaid, Shreeram Suresh Chandra, Junchen Lu +1
Recent advances in style transfer text-to-speech (TTS) have improved the expressiveness of synthesized speech. However, encoding stylistic information (e.g., timbre, emotion, and p…