About
Contact & Profiles
A5010307157
Research Areas
- Reinforcement Learning in Robotics
- Anomaly Detection Techniques and Applications
- Advanced Graph Neural Networks
- Robotic Path Planning Algorithms
- Guidance and Control Systems
- Topic Modeling
- Sports Analytics and Performance
- Robotic Locomotion and Control
Beijing Institute of Technology
2021-2022
Existing investigations of opponent modeling and intention inferencing cannot make clear descriptions practical explanations the opponent's behaviors intentions, which may inevitably limit applicability them. In this work, we propose a novel approach for policy explanation inference based on behavioral portrait opponent. Specifically, use multiagent deep deterministic gradients (MADDPG) algorithm to train agent in competitive environment, collect data agent's observations. Then perform...
10.1002/int.22594
article
EN
International Journal of Intelligent Systems
2021-08-15
10.1016/j.ins.2022.08.101
article
EN
Information Sciences
2022-08-31
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