Approximating a deep reinforcement learning docking agent using linear model trees

no code implementations • 1 Mar 2022 • Vilde B. Gjærum, Ella-Lovise H. Rørvik, Anastasios M. Lekkas

The two main benefits of the proposed approach are: a) LMTs are transparent which makes it possible to associate directly the outputs (control actions, in our case) with specific values of the input features, b) LMTs are computationally efficient and can provide information in real-time.

reinforcement-learning Reinforcement Learning (RL)