I am Shihan Wang and I work as an assistant professor in the Intelligent Systems group at Utrecht University. My research interests lie in developing efficient, scalable and reliable reinforcement learning (RL) approaches to solve real-world problems. I am particularly interested in how RL algorithms can learn optimal policies through efficient and reliable human-agent or agent-agent interactions (communication). My research has also been applied to dialogue, healthcare and autonomous driving domains.
Roles in Hybrid Intelligence: Participant, Supervisor
Hybrid Intelligence Research Objectives: Adaptive HI
Hybrid Intelligence Projects:
- 2.3 VU Specializing NLP models through reinforcement learning
Research interests: Reinforcement Learning: learning through efficient and reliable interactions (communication), covers both single-agent and multi-agent RL settings.
- Intelligent Systems, Utrecht University
More information: website Utrecht University