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most citedSafe Deep Reinforcement Learning for Multi-Agent Systems with Continuous Action Spaces

10 citations · 10 across the 4 of their papers we have counts for

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cs.LG2026

Split the Differences, Pool the Rest: Provably Efficient Multi-Objective Imitation

Ziyad Sheebaelhamd, Luca Viano, Volkan Cevher +1

This work investigates multi-objective imitation learning: the problem of recovering policies that lie on the Pareto front given demonstrations from multiple Pareto-optimal experts…