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20212025
most citedRolling horizon policies for multi-stage stochastic assemble-to-order problems

7 citations · 7 across the 4 of their papers we have counts for

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cs.LG2025

A Reinforcement Learning Method for Environments with Stochastic Variables: Post-Decision Proximal Policy Optimization with Dual Critic Networks

Leonardo Kanashiro Felizardo, Edoardo Fadda, Paolo Brandimarte +2

This paper presents Post-Decision Proximal Policy Optimization (PDPPO), a novel variation of the leading deep reinforcement learning method, Proximal Policy Optimization (PPO). The…