Workshop on New Directions in Reinforcement Learning and Control

2019-2020
Thursday, November 7, 2019 - 09:00 to Friday, November 8, 2019 - 06:00

https://www.ias.edu/livestream

This 2-day workshop at the Institute for Advanced Study will focus on research at the intersection of reinforcement learning, control and optimization. When collecting data to solve real-life and real-time problems in dynamic environments, a host of challenges arise that require novel engineering approaches and theoretical thinking at the intersection of both classical and incipient disciplines. This workshop will bring together researchers working on cross-disciplinary approaches to highlight the most exciting new directions in RL and control. 

The workshop is free of charge thanks to the support from the Institute for Advanced Study and the Schwab Charitable Fund made possible by the generosity of Eric and Wendy Schmidt.

Organizers:

The workshop is organized by Sanjeev Arora (IAS/Princeton University), Elad Hazan (Princeton University), Mengdi Wang (Princeton University)

 

Invited Speakers that have confirmed: 

Emma Brunskill (Stanford), Sham Kakade (U Washington), John Langford (Microsoft), Sergey Levine (Berkeley), Shie Mannor (Technion), Csaba Szepesvari (DeepMind & U Alberta), Russ Tedrake (MIT/Toyota Research Institute), Yuandong Tian (Facebook AI)

 

Registration: click here

If you have any problems with registration or other practical questions, please write to Michelle Huguenin (huguenin@ias.edu).

Registration for the meals and workshop are required. (Speakers do not need to register)  

Although there is no registration fee, because seating is limited both in the seminar room and in our dining hall, you are required to register if you wish to attend all or part of the workshop.  In addition, in order for our chef to prepare enough food, we need to have a headcount for the meals.  Please note the workshop attendees are expected to pay for their lunch. Approximate range of prices are 4.00 for a salad to 9.00 for an entree. Vegetarian lunches will be available.  Only cash is accepted at the cash registers.  Credit cards and personal checks are not accepted.

Agenda

Date: November 7, 2019
Topic: Registration
Time/Room: 9:30 am - 10:00 am Wolfensohn Hall
   
Date: November, 7, 2019
Topic: Curiosity, unobserved rewards and neural networks: On recent progress in building solid foundations for RL
Speaker: Csaba Szepesvari, Deep Mind & U Alberta
Time/Room: 10:00 am -10:45 am  Wolfensohn Hall
   
Date: November 7, 2019
Topic: Understanding deep networks and its role played in prioritized search
Speaker: Yuandong Tian, Facebook AI
Time/Room: 10:45 am- 11:30 am Wolfensohn Hall
   
Date: November 7, 2019
Topic:

Coffee Break

Time/Room: 11:30 am - 12:00 pm Wolfensohn Hall
   
Date: November 7, 2019
Topic: Towards Structural Risk Minimization for RL slides
Speaker: Emma Brunskill Stanford University
Time/Room: 12:00 pm - 12:45 pm  Wolfensohn Hall
   
Date: November 7, 2019
Topic: Lunch
Time/Room: 1:00 pm - 2:30 pm Simons Hall
   
Date: November 7, 2019
Topic: Robust Control with Perception in the Loop: Towards Open-World Manipulation slides
Speaker: Russ Tedrake MIT/Toyota Research Institute
Time/Room: 2:30 pm - 3:15 pm   Wolfensohn Hall
   
Date: November 7, 2019
Topic: Lightning Talks
Speaker: Galen Cho (Princeton), Christina Yu (Cornell), Cyril Zhang (Princeton), Laura Balzano (IAS/U Mich), Max Simchovitz (UC Berkeley)
Time/Room: 3:15 pm - 3:45 pm  Wolfensohn Hall
   
Date: November 7, 2019
Topic: Tea
Time/Room: 3:45 pm - 4:15 pm
   
Date: November 7, 2019
Topic: Unsupervised state embedding and aggregation towards scalable reinforcement learning.
Speaker: Mengdi Wang Princeton University
Time/Room: 4:15 pm - 4:45 pm Wolfensohn Hall
   
Date: November 7, 2019
Topic: The Non-Stochastic Control Problem
Speaker: Elad Hazan Princeton University/Google AI Princeton
Time/Room: 4:45 pm - 5:15 pm Wolfensohn Hall
   
Date: November 8, 2019
Topic: Strategic Exploration via State Abstraction from Rich Observations slides
Speaker: John Langford Microsoft
Time/Room: 10:00 am - 10:45 am Wolfensohn Hall
   
Date: November 8, 2019
Topic:

Deep Reinforcement Learning in the Real World slides

Speaker: Sergey Levine  UC Berkeley
Time/Room: 10:45 am - 11:30 am Wolfensohn Hall
   
Date: November 8, 2019
Topic: Coffee break
Time/Room: 11:30 am - 12:00 pm Wolfensohn Hall
   
Date: November 8, 2019
Topic: Is a Good Representation Sufficient for Sample Efficient Reinforcement Learning
Speaker: Sham Kakade U Washington
Time/Room: 12 pm - 12:45 pm  Wolfensohn Hall
   
Date: November 8, 2019
Topic: Lunch
Time/Room: 1:00 pm - 2:30 pm Simons Hall
   
Date: November 8, 2019
Topic: Risk and robustness in RL: nothing ventured, nothing gained. Slides
Speaker: Shie Mannor Technion
Time/Room: 2:30 pm - 3:15 pm  Wolfenson Hall
   
Date: November 8, 2019
Topic: Lightning Talks
Speaker: Chi Jin (IAS/Princeton), Lin Yang (UCLA), Alec Koppel (US Army Res), Karan Singh (Princeton), Nataly Brukhim (Princeton)
Time/Room: 3:15 pm - 3:45 pm  Wolfensohn Hall
   
Date: November 8, 2019
Topic: Tea
Time/Room: 3:45 pm - 4:30 pm  Wolfensohn Hall

Travel Information:

Directions to IAS (driving, train and plane):  https://www.ias.edu/about/maps-directions

Places to Stay:

  • The Peacock Inn (1.5 miles from IAS) 20 Bayard Lane, Pirnceton, NJ 08540 - 609-924-1707
  • Nassau Inn (1.6 miles from IAS) 10 Palmer Square, Princeton, NJ 08542 - 609-921-7500
  • Hyatt Regency (3.1 miles from IAS) 102 Carnegie Center Drive, Princeton, NJ 08540 - 609-987-1234
  • Marriott Residence Inn (3.7 miles from IAS) 3563 US Route 1, Princeton, NJ 08540 - 609-799-0550
  • Hyatt Place (3.8 miles from IAS) 3565 US Highway 1, Princeton, NJ 08540 - 609-720-0200
  • Extended Stay America (4.4 miles from IAS) 3450 US Highway 1, Princeton, NJ 08540 - 609-919-9000
  • Courtyard Marriott (5.3 Miles from IAS) 3815 US Highway 1 at Mapleton Road, Princeton, NJ 08540 - 609-716-9100
  • Homewood Suites (5.7 miles from IAS) 3819 US Highway 1, Princeton, NJ 08540 - 609-720-0550
  • DoubleTree (5.9 miles from IAS) 4355 US Highway 1, Princeton, NJ 08540 - 609-452-2400

Please inquire with the hotel if they offer shuttle service to the local Princeton area.

events: