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Takayuki Osa

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• Rethinking Policy Diversity in Ensemble Policy Gradient in Large-Scale Reinforcement Learning
• Cross-Embodiment Offline Reinforcement Learning for Heterogeneous Robot Datasets
• Revisiting Regularized Policy Optimization for Stable and Efficient Reinforcement Learning in Two-Player Games