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Inverse Reinforcement Learning from a Gradient-based Learner
Inverse Reinforcement Learning addresses the problem of inferring an exp...
07/15/2020 ∙ by Giorgia Ramponi, et al. ∙
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Newton-based Policy Optimization for Games
Many learning problems involve multiple agents optimizing different inte...
07/15/2020 ∙ by Giorgia Ramponi, et al. ∙
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T-CGAN: Conditional Generative Adversarial Network for Data Augmentation in Noisy Time Series with Irregular Sampling
In this paper we propose a data augmentation method for time series with...
11/20/2018 ∙ by Giorgia Ramponi, et al. ∙
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