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(Page créée avec « ==en construction== == Définition == XXXXXXXXX == Français == ''' UI-S1''' == Anglais == '''UI-S1''' Advancing GUI Automation via Semi-online Reinforcement Learning a novel approach for training GUI automation agents that bridges the gap between offline and online reinforcement learning. Semi-online Reinforcement Learning addresses the limitations of offline and online RL by simulating online RL on offline trajectories, achieving state-of-the-art performa... ») |
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Advancing GUI Automation via Semi-online Reinforcement Learning | Advancing GUI Automation via Semi-online Reinforcement Learning | ||
a novel approach for training GUI automation agents that bridges the gap between offline and online reinforcement learning. | a novel approach for training GUI automation agents that bridges the gap between offline and online reinforcement learning. | ||
Semi-online Reinforcement Learning addresses the limitations of offline and online RL by simulating online RL on offline trajectories, achieving state-of-the-art performance in dynamic benchmarks. | Semi-online Reinforcement Learning addresses the limitations of offline and online RL by simulating online RL on offline trajectories, achieving state-of-the-art performance in dynamic benchmarks. | ||
== Source == | == Source == | ||
Dernière version du 20 septembre 2025 à 10:12
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UI-S1
Anglais
UI-S1
Advancing GUI Automation via Semi-online Reinforcement Learning a novel approach for training GUI automation agents that bridges the gap between offline and online reinforcement learning. Semi-online Reinforcement Learning addresses the limitations of offline and online RL by simulating online RL on offline trajectories, achieving state-of-the-art performance in dynamic benchmarks.
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