Global Reinforcement Learning: Beyond Linear and Convex Rewards via Submodular Semi-gradient Methods
Papers citing "Global Reinforcement Learning: Beyond Linear and Convex Rewards via Submodular Semi-gradient Methods"
11 / 11 papers shown
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 Concave Utility Reinforcement Learning: the Mean-Field Game Viewpoint Matthieu Geist Julien Pérolat Mathieu Laurière Romuald Elie Sarah Perrin Olivier Bachem Rémi Munos Olivier Pietquin |
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