Decision Awareness
in Reinforcement Learning

Workshop at the International Conference on Machine Learning (ICML) 2022

July 22, HALL G T2500 at the Baltimore Convention Center

@DARL_ICML · #DARL_workshop_ICML2022

The schedule is tentative and subject to change. All times are in EST.

Time Speaker Title
9:00 – 9:20 am Workshop organizers Opening Remarks
9:20 – 10:00 am Brandon Amos Invited Talk: Differentiable optimization for control and reinforcement learning
10:00 – 10:30 am Tea Break
10:30 – 11:10 am Junhyuk Oh Invited Talk: Discovering RL Algorithms
11:10 – 12:00 pm Contributed Talks
  • Discovered Policy Optimisation
  • Live in the Moment: Learning Dynamics Model Adapted to Evolving Policy
  • Adaptive Interest for Emphatic Reinforcement Learning
    		•
    12:00 – 1:40 pm Lunch Break
    1:40 – 2:20 pm Christopher Grimm Invited Talk: The Value Equivalence Principle for Model-Based RL
    2:20 – 3:00 pm Erin Talvitie Invited Talk: A Model-Based Reinforcement Learning Wishlist
    3:00 – 3:30 pm Tea Break
    3:30 – 4:30 pm B. Amos, E. Talvitie, L. Kirsch, M. Wang, Contributed talks authors Panel Discussion
    4:30 – 5:30 pm Poster Session 1
    5:30 – 6:10 pm Mengdi Wang Invited Talk: Value-Targeted Regression
    6:10 – 6:50 pm Louis Kirsch Invited Talk: General-purpose meta learning
    6:50 – 8:00pm Closing Remarks and Poster Session 2