Weiqiang Wang

Intention Propagation for Multi-agent Reinforcement Learning

2021

A hallmark of an AI agent is to mimic human beings to understand and interact with others. In this paper, we propose a \emph{collaborative} multi-agent reinforcement learning algorithm to learn a \emph{joint} policy through the …

DEDGAT: Dual Embedding of Directed Graph Attention Networks for Detecting Financial Risk

2023 · arXiv (Cornell University)

Graph representation plays an important role in the field of financial risk control, where the relationship among users can be constructed in a graph manner. In practical scenarios, the relationships between nodes in risk control …

Few-shot reasoning-based safe reinforcement learning framework for autonomous robot navigation

2023 · International Journal of Automation and Control

Unsafe explorations in the training phase hinder the practical deployment of reinforcement learning (RL) on autonomous robots. Some safe RL methods use safety constraints from prior or external knowledge to reduce or avoid unsafe explorations, …