2020
Sharing Knowledge in Multi-Task Deep Reinforcement Learning
ICLR 2020poster
We study the benefit of sharing representations among tasks to enable the effective use of deep neural networks in Multi-Task Reinforcement Learning. We leverage the assumption that learning from different tasks, sharing common properties, is helpful to generalize the knowledge of them resulting in…