James Arambam

PhD Student,
Fujitsu-SMU Urban Computing & Engineering Corporate Lab,
School of Computing & Information Systems,
Singapore Management University,
Email : arambamjs.2016@phdcs.smu.edu.sg

About Me

I am currently a PhD student at School of Computing & Information Systems, Singapore Management University. I am also part of Intelligent Systems and Decision Analytics Group. My research advisors are Assoc. Prof. Akshat Kumar and Prof. Hoong Chuin Lau.

I am supported by Fujitsu-SMU Student Scholarship.

Research Interests

Artificial intelligence and machine learning - reinforcement learning, probabilistic inference, graphical models, mathematical optimization.

News

  • Our paper, Learning and Exploiting Shaped Reward Models for Large Scale Multiagent RL is accepted in International Conference on Automated Planning and Scheduling (ICAPS-2021).
  • Our paper, Approximate Difference Rewards for Scalable Multiagent Reinforcement Learning (Extended Abstract) is accepted in International Conference on Autonomous Agents and MultiAgent Systems (AAMAS-2021).
  • Our paper, Ship-Gan: Generative Modeling Based Maritime Traffic Simulator (Demo paper) is accepted in International Conference on Autonomous Agents and MultiAgent Systems (AAMAS-2021).