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20242026
most citedEnhancing Hardware Fault Tolerance in Machines with Reinforcement Learning Policy Gradient Algorithms

2 citations · 2 across the 5 of their papers we have counts for

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cs.LG2026

WINFlowNets: Warm-up Integrated Networks Training of Generative Flow Networks for Robotics and Machine Fault Adaptation

Zahin Sufiyan, Shadan Golestan, Yoshihiro Mitsuka +2

Generative Flow Networks for continuous scenarios (CFlowNets) have shown promise in solving sequential decision-making tasks by learning stochastic policies using a flow and a retr…

cs.RO2026

ViSA: Visited-State Augmentation for Generalized Goal-Space Contrastive Reinforcement Learning

Issa Nakamura, Tomoya Yamanokuchi, Yuki Kadokawa +5

Goal-Conditioned Reinforcement Learning (GCRL) is a framework for learning a policy that can reach arbitrarily given goals. In particular, Contrastive Reinforcement Learning (CRL)…