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Samin Yeasar Arnob

arnobsam@mila.quebec
Doctorat - McGill University
Superviseur⋅e principal⋅e
Doina Precup
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Publications

Multitask Reinforcement Learning by Optimizing Neural Pathways
Samin Yeasar Arnob
Riyasat Ohib
Amy Zhang
Sergey Plis
Doina Precup
Reinforcement learning (RL) algorithms have achieved great success in learning specific tasks, as evidenced by examples such as AlphaGo or f… (voir plus)usion control. However, it is still difficult for an RL agent to learn how to solve multiple tasks. In this paper, we propose a novel multitask learning framework, in which multiple specialized pathways through a single network are trained simultaneously, with each pathway focusing on a single task. We show that this approach achieves competitive performance with existing multitask RL methods, while using only 5% of the number of neurons per task. We demonstrate empirically the success of our approach on several continuous control tasks, in both online and offline training.
2023-02-01
ICLR.cc/2023/Conference (rejected)
openreview.net
openreview.net