Position: Deployed Reinforcement Learning should be Continual

Parnian Behdin, Kevin Roice, Golnaz Mesbahi

Reinforcement Learning (RL) has received increasing attention and adoption in real-world use cases. Most of these systems follow a train-then-fix paradigm, where trained agents do…