most citedMO-MIX: Multi-Objective Multi-Agent Cooperative Decision-Making With Deep Reinforcement Learning

68 citations · 73 across the 4 of their papers we have counts for

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cs.AI2026★ 4 cited

PA2D-MORL: Pareto Ascent Directional Decomposition based Multi-Objective Reinforcement Learning

Tianmeng Hu, Biao Luo

Multi-objective reinforcement learning (MORL) provides an effective solution for decision-making problems involving conflicting objectives. However, achieving high-quality approxim…

cs.AI2026★ 68 cited

MO-MIX: Multi-Objective Multi-Agent Cooperative Decision-Making With Deep Reinforcement Learning

Tianmeng Hu, Biao Luo, Chunhua Yang +1

Deep reinforcement learning (RL) has been applied extensively to solve complex decision-making problems. In many real-world scenarios, tasks often have several conflicting objectiv…