Matt Taylor
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Matt Taylor is a professor at the University of Alberta.
Research
His research is focused on how reinforcement learning agents interact with humans through collaborative efforts.
Some ideas that I should explore further from his lab:
Monitored Markov Decision Processes: (Parisi et al. 2024)
Offline data in the HitL process
In this there are several questions:
- When we do or don’t have expert data how do we incorporate that data into the HitL process? (Muslimani and Taylor 2024)
- What is expert data? Where does it come from?
- Offline to online learning. How do we create algorithms which are robust to unseen/outlier data without having to have this data in our dataset?
- How do we transition from HitL collaboration to more reliance on the RL agent as it learns?
Curriculum Learning
This is a bit of a topic, but really it is about building a series of datasets/trajectories for an agent (or smaller domains) to teach it skills over time rather than throwing the student agent into the throw of things.