Adaptive Auxiliary Task Weighting for Reinforcement Learning

1 code implementation • NeurIPS 2019 • Xingyu Lin, Harjatin Baweja, George Kantor, David Held

Reinforcement learning is known to be sample inefficient, preventing its application to many real-world problems, especially with high dimensional observations like images.

reinforcement-learning Reinforcement Learning (RL)