2 papers
cs.LG2022
Meta-Reinforcement Learning Using Model Parameters
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. This pap…
cs.RO2018
Deep Reinforcement Learning for Time Optimal Velocity Control using Prior Knowledge
Gabriel Hartmann, Zvi Shiller, Amos Azaria
Autonomous navigation has recently gained great interest in the field of reinforcement learning. However, little attention was given to the time optimal velocity control problem, i…