Unlocking the Potential of Simulators: Design with RL in Mind

Rika Antonova, Silvia Cruciani

Using Reinforcement Learning (RL) in simulation to construct policies useful in real life is challenging. This is often attributed to the sequential decision making aspect: inaccur…