most citedT3S: Improving Multi-Task Reinforcement Learning with Task-Specific Feature Selector and Scheduler

3 citations · 3 across the 1 of their papers we have counts for

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1 paper

cs.LG2026★ 3 cited

T3S: Improving Multi-Task Reinforcement Learning with Task-Specific Feature Selector and Scheduler

Yuanqiang Yu, Tianpei Yang, Yongliang Lv +2

Multi-task reinforcement learning (MTRL) is a technique to train multiple tasks simultaneously, where previous works usually train a single model to solve different tasks by sharin…