Showing 1-5 of 5 projects
Reinforcement learning infrastructure for embodied and agentic AI
A curated list of state-of-the-art research in embodied AI, focusing on VLA, VLN, and related multimodal learning approaches.
An effective paradigm for building tiny-scale vision-language-action models for robotics and embodied AI.
A reinforcement learning-based approach to scale training of variational autoencoders (VLAs) used in AI tools.
A Python re-implementation of the pi0 vision-language-action (VLA) model for developers working with AI tools.
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