|1998 - 2005
1993 - 98
1997 - 98
1996 - 97
Massachusetts, Amherst, USA
Ph.D in computer science
Royal Institute of Technology (KTH), Stockholm, Sweden
Degree of "Civilingenjör" (masters) in computer science
National Institute for Applied Sciences (INSA), Lyon, France
Year of exchange with the Computer Science Department
Washington University, St Louis, USA
Year of exchange with the Systems Science Department
2004 - 05
1999 - 2001
1998 - 99
1997 - 98
Learning to Teach, University of Massachusetts|
Developed a machine learning approach to intelligent tutoring systems
Temporal Abstraction in Reinforcement Learning, University of Massachusetts
Studied hierarchical representations in reinforcement learning algorithms
Modelling Cerebellar and Basal Ganglionic Circuits, University of Massachusetts
Performed computer modelling of the neuronal circuits involved in human movement
Cooperative Agents and Emergence of Social Behavior, INSA
Helped develop a distributed architecture of autonomous reactive agents
Omer Giménez & Anders Jonsson.
On the Hardness of Planning Problems With Simple Causal Graphs.
Proceedings of the International Conference on Automated Planning and Scheduling, 7.|
Anders Jonsson & Andrew Barto. Active Learning of Dynamic Bayesian Networks in Markov Decision Processes. Lecture Notes in Artificial Intelligence: Abstraction, Reformulation, and Approximation, 4612: 273-284.
Anders Jonsson. The Role of Macros in Tractable Planning Over Causal Graphs. Proceedings of the International Joint Conference on Artificial Intelligence, 20: 1936-1941.
Anders Jonsson & Andrew Barto. Causal Graph Based Decomposition of Factored MDPs. Journal of Machine Learning Research, 7: 2259-2301.
Paulo Trigo, Anders Jonsson, Helder Coelho. Coordination with Collective and Individual Decisions. Lecture Notes in Artificial Intelligence: Advances in Artificial Intelligence - IBERAMIA-SBIA 2006, 4140: 37-47.
Anders Jonsson. A Causal Approach to Hierarchical Decomposition in Reinforcement Learning. Ph.D thesis, Computer Science Department, University of Massachusetts Amherst.
Anders Jonsson & Andrew Barto. A Causal Approach to Hierarchical Decomposition of Factored MDPs. Proceedings of the International Conference on Machine Learning, 22.
Anders Jonsson, Jeff Johns, Hasmik Mehranian, Ivon Arroyo, Beverly Woolf, Andrew Barto, Don Fisher, Sridhar Mahadevan. Evaluating the Feasibility of Learning Student Models from Data. Proceedings of the Workshop on Educational Data Mining at AAAI-2005, 1-6.
Anders Jonsson & Andrew Barto. Automated State Abstraction Using the U-Tree Algorithm. Advances in Neural Information Processing Systems, 13: 1054-1060.
Anders Jonsson. Experimenting in Learning Multiple Behaviors in a Robot Swarm. M.Sc thesis, Department of Numerical Analysis and Computing Science, KTH.
2005 - 07
2001 - 04
Universitat Pompeu Fabra|
Primary instructor of four courses in Java and C programming
University of Massachusetts
Primary instructor of four courses in Java programming
Springfield Technical Community College
Primary instructor of a course in Java programming
|Fluent in Swedish, English,
French, and Spanish, basic level German|
1999 - 2005
2003 - 04
2001 - 02
2000 - 01
Translation Center, University of Massachusetts|
Professional translation work between English and Swedish
Google Code Jam
Finalist in a world-wide programming contest held at Google
Graduate Employee Organization, University of Massachusetts
Assistantship with union representing 3,000 graduate employees
Raleigh International, Coyhaique, Chile
Project manager on wilderness expedition aimed at youth development
International Conference on Machine Learning, Williamstown, USA
Co-chair of the workshop Hierarchy and Memory in Reinforcement Learning
Computer Science Department, University of Massachusetts
Graduate student representative at department faculty meetings