Probabilistic multi-modal depth estimation based on camera–LiDAR sensor fusion von Obando-Ceron, Johan S., Romero-Cano, Victor, Monteiro, Sildomar

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Probabilistic Multimodal Depth Estimation Based on Camera-LiDAR Sensor Fusion von Obando-Ceron, Johan S, Romero-Cano, Victor, Monteiro, Sildomar

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Revisiting Rainbow: Promoting more Insightful and Inclusive Deep Reinforcement Learning Research von Obando-Ceron, Johan S, Castro, Pablo Samuel

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Exploiting the potential of deep reinforcement learning for classification tasks in high-dimensional and unstructured data von Obando-Ceron, Johan S, Cano, Victor Romero, Toro, Walter Mayor

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Probabilistic Multimodal Depth Estimation Based on Camera-LiDAR Sensor Fusion von Obando-Ceron, Johan S, Romero-Cano, Victor, Monteiro, Sildomar

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Revisiting Rainbow: Promoting more Insightful and Inclusive Deep Reinforcement Learning Research von Obando-Ceron, Johan S, Castro, Pablo Samuel

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Divide and Conquer: an Accurate Machine Learning Algorithm to Process Split Videos on a Parallel Processing Infrastructure von Toro, Walter M. Mayor, Villota, Juan C. Perafan, Mondragon, Oscar H, Ceron, Johan S. Obando

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Exploiting the potential of deep reinforcement learning for classification tasks in high-dimensional and unstructured data von Obando-Ceron, Johan S, Victor Romero Cano, Walter Mayor Toro

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Divide and Conquer: an Accurate Machine Learning Algorithm to Process Split Videos on a Parallel Processing Infrastructure von Mayor Toro, Walter M, Juan C Perafan Villota, Mondragon, Oscar H, Obando Ceron, Johan S

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Neuroplastic Expansion in Deep Reinforcement Learning von Liu, Jiashun, Obando-Ceron, Johan, Courville, Aaron, Pan, Ling

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In value-based deep reinforcement learning, a pruned network is a good network von Obando-Ceron, Johan, Courville, Aaron, Castro, Pablo Samuel

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Small batch deep reinforcement learning von Obando-Ceron, Johan, Bellemare, Marc G, Castro, Pablo Samuel

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Don't flatten, tokenize! Unlocking the key to SoftMoE's efficacy in deep RL von Sokar, Ghada, Obando-Ceron, Johan, Courville, Aaron, Larochelle, Hugo, Castro, Pablo Samuel

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Mixture of Experts in a Mixture of RL settings von Willi, Timon, Obando-Ceron, Johan, Foerster, Jakob, Dziugaite, Karolina, Castro, Pablo Samuel

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On the consistency of hyper-parameter selection in value-based deep reinforcement learning von Obando-Ceron, Johan, Araújo, João G. M, Courville, Aaron, Castro, Pablo Samuel

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Bigger, Better, Faster: Human-level Atari with human-level efficiency von Schwarzer, Max, Obando-Ceron, Johan, Courville, Aaron, Bellemare, Marc, Agarwal, Rishabh, Castro, Pablo Samuel

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Neuroplastic Expansion in Deep Reinforcement Learning von Liu, Jiashun, Obando-Ceron, Johan, Courville, Aaron, Pan, Ling

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Mixtures of Experts Unlock Parameter Scaling for Deep RL von Obando-Ceron, Johan, Sokar, Ghada, Willi, Timon, Lyle, Clare, Farebrother, Jesse, Foerster, Jakob, Dziugaite, Gintare Karolina, Precup, Doina, Castro, Pablo Samuel

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In value-based deep reinforcement learning, a pruned network is a good network von Obando-Ceron, Johan, Courville, Aaron, Castro, Pablo Samuel

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On the consistency of hyper-parameter selection in value-based deep reinforcement learning von Obando-Ceron, Johan, Araújo, João G M, Courville, Aaron, Castro, Pablo Samuel

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