Search alternatives:
samples optimization » kepler optimization (Expand Search), compared optimization (Expand Search), whale optimization (Expand Search)
whole optimization » whale optimization (Expand Search), wolf optimization (Expand Search), dose optimization (Expand Search)
primary data » primary care (Expand Search)
data samples » dna samples (Expand Search), all samples (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
based whole » used whole (Expand Search)
samples optimization » kepler optimization (Expand Search), compared optimization (Expand Search), whale optimization (Expand Search)
whole optimization » whale optimization (Expand Search), wolf optimization (Expand Search), dose optimization (Expand Search)
primary data » primary care (Expand Search)
data samples » dna samples (Expand Search), all samples (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
based whole » used whole (Expand Search)
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The mean reward results of using visual information and audio samples in the ViZDoom environment.
Published 2025Subjects: -
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Mean reward of using only pixels and pixels with raw audio samples in ViZDoom environment.
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Mean scores of the last 100 episodes using PPO and DQN in Unity environment and ViZDoom.
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The images shown correspond the downscaled images an agent receives in Unity environment.
Published 2025Subjects: -
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Average success rate (%) of the test experiment on ViZDoom and Unity environments.
Published 2025Subjects: -
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MLP vs classification algorithms.
Published 2024“…We propose SPAM-XAI, a hybrid model integrating novel sampling, feature selection, and eXplainable-AI (XAI) algorithms to address these challenges. …”
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