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most citedEscaping from Zero Gradient: Revisiting Action-Constrained Reinforcement Learning via Frank-Wolfe Policy Optimization

3 citations · 3 across the 5 of their papers we have counts for

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cs.LG2026

A Reward-Free Viewpoint on Multi-Objective Reinforcement Learning

Ying-Tu Chen, Wei Hung, Bing-Shu Wu +2

Many sequential decision-making tasks involve optimizing multiple conflicting objectives, requiring policies that adapt to different user preferences. In multi-objective reinforcem…