8 citations · 11 across the 4 of their papers we have counts for
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cs.LG2023★ 1 cited
Deep reinforcement learning uncovers processes for separating azeotropic mixtures without prior knowledge
Quirin Göttl, Jonathan Pirnay, Jakob Burger +1
Process synthesis in chemical engineering is a complex planning problem due to vast search spaces, continuous parameters and the need for generalization. Deep reinforcement learnin…
cs.LG2023★ 2 cited
Policy-Based Self-Competition for Planning Problems
Jonathan Pirnay, Quirin Göttl, Jakob Burger +1
AlphaZero-type algorithms may stop improving on single-player tasks in case the value network guiding the tree search is unable to approximate the outcome of an episode sufficientl…