2026
SCIENTIA SINICA Terrae
Learning to make better
decisions for our planet.
I study how reinforcement learning can support adaptive decisions in coupled climate–social systems.
I am a PhD student at the University of Chinese Academy of Sciences. My research brings together deep reinforcement learning and Earth system science, with a focus on climate–social systems and adaptive governance.
Previously, I studied Hydrology at China University of Geosciences (Wuhan), advised by Xin Li, and received my bachelor's degree in Geographic Information Science from Xi'an University of Science and Technology.
I love building software, turning research ideas into working tools, and contributing to open-source projects.
- Reinforcement learning
- Climate–social systems
- Adaptive governance
- GeoAI & remote sensing
Latest news
Publications
View all publications2026
Geography and Sustainability
Realizing adaptive governance of coupled climate–social systems: A deep reinforcement learning framework
Learning adaptive governance strategies in a coupled climate–social model.
2023
ICIG 2023 · Lecture Notes in Computer Science
Coupled Dense Convolutional Neural Networks with Autoencoder for Unsupervised Hyperspectral Super-Resolution
Unsupervised hyperspectral super-resolution with coupled dense networks and an autoencoder.
Projects & community
GIS-info-LLM
GISphere Institute
Contributing to an open-source initiative that uses web crawling and large language models to organize faculty recruitment information from North American GIS institutions.
Building & open source
- Climate RL Optimizer
My work on reinforcement learning for adaptive climate–social governance.
- CoDenNet
My work on unsupervised hyperspectral image super-resolution.
- Mesa
An open-source contribution to the Python agent-based modeling framework.
ABMind
Community operations
I help with community operations at ABMind, a Chinese-language learning community for agent-based modeling.
Tools I work with
- Programming
- Python, MATLAB, LaTeX, Java
- Machine learning
- PyTorch, Stable-Baselines3, NumPy, Pandas, OpenAI Gym
- Geospatial analysis
- ENVI, ArcGIS, MapGIS, spatiotemporal analysis
Let's connect.
I welcome conversations and collaborations on reinforcement learning, Earth system science, and remote sensing.
peter.org3s@gmail.com