Meta-Reinforcement Learning Using Model Parameters

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.

Meta Reinforcement Learning reinforcement-learning +1

Deep Reinforcement Learning for Time Optimal Velocity Control using Prior Knowledge

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.

Autonomous Navigation reinforcement-learning +1