I've enjoyed creating various kinds of videos for teaching, research, and family fun. Please browse my collection of
You can also see me in:
If you are interested in doing research with me, you might like to take a look at some open questions I'd be interested in studying with you.
I am also running research/reading groups on various AI, robotics, machine-learning topics.
September 2013, I ran on all the Streets of Barrington to get to know my new town.
I joined the Computer Science faculty at Brown July 1st, 2012 after ten years at Rutgers, the State University of New Jersey.
I tried writing a blog on the topic of end-user programming. Unfortunately, I couldn't quite keep it updated.
I was program co-chair of AAAI 2013 with Marie desJardins and general chair of ICML 2013.
I was on the organizing committee for a AAAI symposium on Lifelong Machine Learning.
You can download my python reinforcement-learning demo (developed with Carlos Diuk) of the well-known taxi problem, but please send me mail if you try it out.
Summer 2012, I taught a class on Crunching Social Networks (Algorithms) for Udacity. At last count, over 72,000 people signed up. It's free! And it's still available!
There's a recording of my NIPS 2009 Tutorial on model-based reinforcement learning.
I served as department chair at Rutgers July 2009--June 2012.
I declared myself an outspoken proponent of progressive values. My spouse and I used to have a little blog on The Huffington Post, but we don't remember how to submit new articles and we stopped.
I have a page for publications, but I don't really like the formatting. Other papers are also online.
We held an interdisciplinary workshop on learning in games (rescheduled from the snowed out date in January 2011).
I was one of the organizers of Rutgers CS's Yahoo! seminar series in Machine Learning with Michael Pazzani and Tina Eliasi-Rad (2010-2011).
I'm a big fan of Scratch and have used it for teaching and learning research. Here's my daughter Molly's scratch project page.
In the year 5770, I served as Ceremonial Leader ("lay rabbi") of the Congregation for Humanistic Judaism of Morris County.
I was one of the co-organizers of the Rutgers Yahoo! Machine Learning Seminar, Tuesdays at 11am (lunch provided), 2009-2010.
I was programme co-chair of ICML 2009 in Montreal.
I worked on the Journal of Machine Learning Research as an action editor.
I participated in a panel as part of the opening of the NYC play, Universal Robots. The play won some nice awards!
I performed in HMS Pinafore Summer 2008.
I served on the organizing committee of the 2008 Reinforcement Learning Competition.
I served on the organizing committee for ICML/UAI/COLT 2008 workshops.
I helped out with the 2nd AAAI Video Competition.
In 2007-2008, I served as adult ed chair and web monster of the Congregation for Humanistic Judaism of Morris County. I've also been secretary and vice president.
Worked on Journal of Artificial Intelligence Research (advisory board member). Journal of Machine Learning Gossip, American Association for Artificial Intelligence (ex Council member).
Fall 2007, I helped organize the AAAI Fall Symposium on Computational Approaches to Representation Change During Learning and Development.
Fall 2007, I served as local arrangements chair of the 7th International Conference on Epigenetic Robotics, held at Rutgers.
I served as guest editor, with Amy Greenwald, of the Machine Learning Journal Special Issue on Learning and Computational Game Theory.
I was on the program committee for the first AI Video Competition in 2007. I won the first "Shakey" for Short Video for Aibo Ingenuity. I also won Best Narration for Real Live Robot Learning with Kaushik Subramanian. In 2014, I won an actual "Shakey" statue for Overfitting: Machine Learning Music Video with Charles Isbell and Aaron Gross.
I ran The First RL Benchmarking Event as part of a NIPS workshop in 2005.
I co-organized the Reinforcement Learning Benchmarks and Bake-offs Workshop at NIPS 2004.
I stay in touch with Charles Isbell and the Threads project he helped create that is transforming computer-science education.
I co-organized the Probabilistic Track of the 2004 International Planning Competition (with Haakan Younes) and co-organized a AAAI 2004 Fall Symposium on Real-Life Reinforcement Learning (with Satinder Singh).
With my CS205 class, 2/8/2005, we had thought we found a bug in the US Constitution!
Spring 2004, I became a member of the Rutgers Cognitive Science Center.
I gave two game-theory and learning tutorials summer of 2003, Multiagent Learning: A Game Theoretic Perspective at IJCAI-03 (with Michael Bowling), and Learning Topics in Game -Theoretic Decision Making at COLT-03. I was co-organizer of the Multi-Agent Learning: Theory and Practice workshop at NIPS 2002 (with Gerry Tesauro) and the Personalized Agents 2002 Fall Symposium at AAAI (with Charles Isbell).
I was a founding member of the MetroBots RoboCup soccer team, which competed in the First American Open and RoboCup in 2003. I have looked into methods for dimension reduction for text applications as part of a NASA-funded research project in 2002.
I prepared a course on Machine Learning with Charles Isbell for the Udacity/Georgia Tech/AT&T Online Master of Science in Computer Science. The Machine Learning course materials are available for free via Udacity. Enrollment is 22000+ as of November, 2014.
Here is a list of the PhD dissertations I have advised.
My Rutgers students were members of The Rutgers Laboratory for Real-Life Reinforcement Learning (or RL3).
Fall 2015, I'm involved with three classes: a graduate seminar on Learning and Sequential Decision Making (qualified undergraduates welcome!), 2D-Game Engines (with Michael Thiesmeyer), and Designing Humanity Centered Robots (with Ian Gonsher).
Spring 2015 was our second offering of A First Byte of Computer Science, a hands-on problem-solving class that introduces the field of computer science to undergraduates. Our theme was Pixar movies.
Fall 2014, I co-taught Designing Humanity Centered Robots with Ian Gonsher.
Fall 2014, I ran 2D Game Engines, which was a student-run independent study. I've had students work with me to develop their own video games. Here is a link: Perkinites by John Tran.
Spring 2014, I offered A First Byte of Computer Science, a hands-on problem-solving class that introduces the field of computer science to undergraduates. Our theme was food.
Fall 2013, I served as the faculty member for 2D Game Engines.
Fall 2013, I taught a graduate seminar on Learning and Sequential Decision Making.
Spring 2013, I taught Introduction to Artificial Intelligence (CS141).
Fall 2012, I taught a graduate seminar on Learning and Sequential Decision Making.
Spring 2011, I taught CS110, experimenting with introducing Scratch into the Rutgers curriculum. I also co-organized a Machine learning light seminar with Tina Eliasi-Rad.
Spring 2010, I taught an honors course on Programming for the Masses to explore what the rest of the world might do if they could program. The spinoff project for Summer 2010 is "End user programming", or "upod" for "user programming of devices".
Spring 2009, I taught a graduate course on sequential decision making.
The lab also ran a light seminar on "A Machine Learning Approach to Solving Pitfall".
Fall 2008, I taught a CS intro course for non-majors, Great Insights in Computer Science (CS105). Some class members sent me words of support.
Carlos Diuk, Chris Mansley and I ran a light seminar on the topic of Bayesian Reinforcement Learning.
Fall 2007, I taught a CS intro course for non-majors, Great Insights in Computer Science (CS105), available from sakai. Lihong Li and I organized a light seminar on the topic of Planning in Learned Environments.
Spring 2007, I again taught a CS intro course for non-majors, Great Insights in Computer Science. Enrique Munoz de Cote and I also ran a seminar on the topic of Multiagent reinforcement learning.
Fall 2006, I taught Great Insights in Computer Science and helped Alex Strehl organize a Light seminar on reinforcement-learning theory.
I created a new course for non-majors, offered Spring 2006, Great Insights in Computer Science.
Fall 2005, I reprised my course on Learning and Sequential Decision Making.
Spring 2005, I taught Discrete Math (undergrad CS205) and co-organized the Social Reinforcement Learning light seminar with Matthew Stone.
Fall 2004, I taught Discrete Math (undergrad CS205) and Machine Learning (graduate CS536).
Spring 2004, I taught a course on Learning and Sequential Decision Making.
Fall 2003, I taught Machine Learning and ran a Learned Representations in AI Light Seminar.
Spring 2003, I ran a Learning Robots Reading Group.
Fall 2001, I taught Introduction to Artificial Intelligence at Princeton.
My family and his family sang Justin Boyan a song for his 40th birthday. Similarly, I put up a file with some of my favorite quotes from Charles Isbell when he turned 40.
My explanation of the Monty Hall Problem (Jan. 2006) can be found online.
There are editorial comments I make very frequently.
I prefer some names more than others.
I compiled a list of Communication Technology Firsts.
Michael L. Littman is a big fan of google but not googlism. I've collected some real-life googlewhacks. I've started keeping track of slogans that help me understand the world around me. I can't bear to delete the links to stuff I started creating at Duke.