Christopher Amato

Associate Professor
  Khoury College of Computer Sciences
Northeastern University

camato at ccs dot neu dot edu

Twitter Google Scholar YouTube
Home | Publications | Research | Robot videos | Talks | Teaching | Group | Contact


Selected talks:

  • Scalable and Robust Multi-Agent Reinforcement Learning. Microsoft Research, Reinforcement Learning Day, October, 2019. [YouTube]

  • Decision-Making Under Uncertainty in Multi-Agent and Multi-Robot Systems: Planning and Learning. Twenty-Third International Joint Conference on Artificial Intelligence (IJCAI-18), Stockholm, Sweden, July, 2018. [pptx] [pdf]

  • Multi-Robot Coodindination with Uncertainty and Limited Communication. MassTLD Future of Robotics Conference, December, 2016. [YouTube]

  • Optimally Solving Dec-POMDPs as Continuous-State MDPs. Twenty-Third International Joint Conference on Artificial Intelligence (IJCAI-13), Beijing, China, August, 2013. [pdf]

  • Models of Coordination in Multiagent Decision Making. Tutorial given at the 2012 International Conference on Collaboration Technologies and Systems, May 21, 2012. [pptx] [pdf]

  • Increasing Scalability in Algorithms for Centralized and Decentralized POMDPs. Carnegie Mellon University, February 5, 2010. [ppt] [pdf]

  • Decision-Theoretic Planning for Multi-Agent Systems: New Directions and Opportunities. For information and the slides from our tutorial at IJCAI-09, take a look at the following webpage

  • Achieving Goals in Decentralized POMDPs. Christopher Amato and Shlomo Zilberstein. Eighth International Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS-09), Budapest, Hungary, May, 2009. [ppt]

  • Optimal Fixed-Size Controllers for Decentralized POMDPs. Workshop on Multi-Agent Sequential Decision Making in Uncertain Domains(MSDM) 2006.
    Held in conjunction with the Fifth International Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS) , Future University-Hakodate, 9th May, 2006. [ppt] [pdf]

  • Solving POMDPs Using Quadratically Constrained Linear Programs. Ninth International Symposium on Artificial Intelligence and Mathematics, Fort Lauderdale, Florida, January 6, 2005. [ppt] [pdf]