We are proud to announce a new workshop for Open Source Software for Decision Making, the scope of which includes reinforcement learning, planning and learning in fully- and partially-observable Markov decision processes, decision system certification and validation, advanced algorithms and data structures for decision making, and human-robot interface languages. Special emphasis is placed on open-sourced software and open research - tools which are openly accessible for use in industry and academia alike.
The decision systems used in academia and industry are often proprietary, and open-sourced software suites such as BURLAP, APPL, and MADP are neither well-known, nor widely circulated. These open-source software projects would benefit from broader community involvement and coordination. Furthermore, while there are high quality datasets and machine learning packages such as scikit-learn, dlib, and Weka, these do not address most decision making problems, such as the control of dynamic systems under uncertainty.
Sponsored by the Artificial Intelligence Journal.
01: Scott Sanner
RDDL - the Relational Dynamic Influence Diagram Language
Gazebo - robot simulation made easy
POMDPs.jl - a unified POMDP framework
04: Chelsea Finn
Guided Policy Search - complete algorithm and robot interface
RLLAB - a reinforcement learning framework
The Udacity Open-Sourced Self Driving Car
07: Benoit Landry
MotionPlanning.jl - A Julia package for robotic motion planning
Drake - planning and contorl for nonlinear dynamical systems
POMDPs.jl - challenges and lessons learned
10: Peter Karkus
Approximate POMDP Solving Software
World of Bits
|Registration Opens||8:30 AM|
|Workshop Opening||9:00 AM||Prof. Mykel Kochenderfer from Stanford|
|         RDDL - the Relational Dynamic Influence Diagram Language||9:20 AM||Prof. Scott Sanner from U. Toronto|
|         Gazebo - robot simulation made easy||9:45 AM||Louise Poubel from Gazebo|
|         POMDPs.jl - a unified POMDP framework||10:10 AM||Max Egorov from Stanford|
|Break (20 min)|
|         Guided Policy Search - complete algorithm and robot interface||10:50 AM||Chelsea Finn from UC Berkeley|
|         RLLAB - a reinforcement learning framework||11:10 AM||Rocky Duan from UC Berkeley|
|         The Udacity Open-Sourced Self-Driving Car||11:30 AM||David Silver from Udacity|
|Lunch Break (70 min)|
|         MotionPlanning.jl - A Julia package for robotic motion planning||1:00 PM||Benoit Landry from Stanford|
|         Drake - planning and control for nonlinear dynamical systems||1:20 PM||Benoit Landry from Stanford|
|         POMDPs.jl - challenges and lessons learned||1:40 PM||Zach Sunberg from Stanford|
|Break (20 min)|
|         Approximate POMDP Solving Software||2:20 PM||Peter Karkus from Natl. U. of Singapore|
|         World of Bits||2:40 PM||Jim (Linxi) Fan from Stanford|
|         The State of OSS4DM and Closing Comments||3:00 PM||Tim Wheeler from Stanford|
Tresidder Union, 459 Lagunita Dr, Stanford, CA 94305, USA Parking is available directly at the venue. You can pay with cash or credit card at the kiosk. Display your parking slip on your dashboard.
- From 280: Exit Sand Hill Road east toward Stanford. Continue east, turning right at the traffic light on Santa Cruz Avenue. Make an immediate left onto Junipero Serra Boulevard. Turn left on Campus Drive East then make a left turn onto Mayfield Avenue.
- From 101: Take the Embarcadero Road exit west toward Stanford. At El Camino Real, Embarcadero turns into Galvez Street as it enters the university. Stay in the left lane and continue toward the center of campus. Make a left turn at Campus Drive East. Follow the signs to the Stanford Bookstore. Turn right on Mayfield Avenue.
- From El Camino Real: Exit West at University Avenue, then toward the hills (away from the center of Palo Alto). As you enter Stanford, University Avenue becomes Palm Drive. Go through one traffic light, and turn left onto Campus Drive. Campus Drive will turn into Campus Drive East. Follow the signs to the Stanford Bookstore. Turn right on Mayfield Avenue.
Lunch will not be provided at the workshop, but there will be coffee and pastries available at opening and for the breaks throughout the day.
There are many eateries within walking distance for lunch. Russo Cafe is right next to Paul Brest Hall but may get crowded at lunch. There are many other options at Tresidder Marketplace including: Treehouse, CoHo, Subway, Panda Express, Starbucks, and Jamba Juice.
Please use the "Stanford Visitor" network available across campus.
- Mykel Kochenderfer (Stanford): mykel [at] stanford.edu.
- Tim Wheeler (Stanford): wheelert [at] stanford.edu.
If you are interested in sponsoring this event, please contact Tim Wheeler.