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20192026
most citedDistributional Reinforcement Learning for Energy-Based Sequential Models

6 citations · 6 across the 9 of their papers we have counts for

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math.OC2025

Multiple Approximate-Response Agents (MARA): Fast Near-Optimal Primal Recovery for Distributed Optimization

Tetiana Parshakova, Yicheng Bai, Garrett van Ryzin +1

Dual methods are useful for distributed optimization because they allow agent-level subproblems to be solved in parallel. However, achieving primal feasibility with dual methods is…