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News/Deterministic Pareto-Optimal Policy Synthesis for Multi-Objective Reinforcement Learning
arxiv
PublishedJune 27, 2026 at 4:00 AM
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Deterministic Pareto-Optimal Policy Synthesis for Multi-Objective Reinforcement Learning

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arXiv:2606.26397v1 Announce Type: cross Abstract: Real-world decision-making often requires balancing multiple conflicting objectives, a challenge that standard Reinforcement Learning (RL) frequently addresses by aggregating rewards into a single scalar signal. While effective for simple tasks, this

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