no code implementations • 27 Oct 2022 • Gabriel Hartmann, Amos Azaria
In meta-reinforcement learning, an agent is trained in multiple different environments and attempts to learn a meta-policy that can efficiently adapt to a new environment.
no code implementations • 28 Nov 2018 • Gabriel Hartmann, Zvi Shiller, Amos Azaria
Furthermore, we use the numerical solution to further improve the performance of the reinforcement learner.