News

Recent updates from my research, open-source work, and AMAP-ML team. I use this page as a lightweight activity log that connects papers, released code, product-facing AI systems, and hiring signals back to the broader AMAP-ML GitHub organization.

Recent papers Agents, world models, spatial AI, and generative AI
Open releases 30+ reproducible AMAP-ML projects
Product reach 300M+ daily users

Latest AMAP-ML Updates

These items are curated from recent AMAP-ML releases and paper/project updates, with the newest and most product-relevant signals first.

Selected GitHub Portfolio

The AMAP-ML GitHub organization is the best place to follow the full project portfolio. It organizes our work around spatial intelligence, generative intelligence, reasoning agents, world models, multimodal AI, and foundation architectures. Selected flagship releases:

Agents
Agentic skill evolution from real interaction traces.
Reasoning RL
A minimalist group policy gradient baseline for model reasoning.
Reasoning RL
Tree-search rollouts for LLM agent reinforcement learning.
World Models
A general-purpose interactive world model for controllable world simulation.
Generative AI
Scene-text editing for controllable visual asset generation.
Spatial AI
Route-planning agent evaluation grounded in real-world mobility scenarios.

Full release index: visit github.com/AMAP-ML for the complete repository list, pinned releases, project pages, and hiring notes.


2025


Earlier Highlights