Mitigating Planner Overfitting in Model-Based Reinforcement Learning

Dilip Arumugam, David Abel, Kavosh Asadi +5

An agent with an inaccurate model of its environment faces a difficult choice: it can ignore the errors in its model and act in the real world in whatever way it determines is opti…