Agentic Intelligence Lab

Blog

We periodically release blogs covering topics such as hiring opportunities, introductions to our research results, announcements welcoming new lab members, and yearly summaries of our achievements, and so on.

2026

CWI Composite Humanoid Whole-Body Imitation System for Loco-Manipulation RA-L 2026
CWI — Composite Humanoid Whole-Body Imitation System for Loco-Manipulation (RA-L 2026)

One Policy, Two Kinds of Motion Data

ROMBRL Policy-Driven World Model Adaptation for Robust Offline Model-based RL ICML 2026
ROMBRL — Policy-Driven World Model Adaptation for Robust Offline Model-based RL (ICML 2026)

Our paper, “Policy-Driven World Model Adaptation for Robust Offline Model-based Reinforcement Learning”, was presented as a poster at ICML 2026 in Seoul, South Korea. This is joint work between the Agentic Intelligence Lab at the University of Hong Kong, Tsinghua University, and the Robotics Institute at Carnegie Mellon University.

SAIL-RevKL: Stable and Provable Self-Improving Online LLM Alignment
SAIL-RevKL: Stable and Provable Self-Improving Online LLM Alignment

Paper · MuJoCo Code · LLM Code

2025

Verlog - A Multi-turn RL framework for LLM agents
Verlog - A Multi-turn RL framework for LLM agents

Source Code

Available Research Positions at the Agentic Intelligence Lab The University of Hong Kong
Available Research Positions at the Agentic Intelligence Lab @ The University of Hong Kong

About the PI