Learning And Signal Processing
Learning And Signal Processing
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LGDC: Latent Graph Diffusion via Spectrum-Preserving Coarsening
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Nagham Osman
,
Keyue Jiang
,
Davide Buffelli
,
Xiaowen Dong
,
Laura Toni
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Near-Optimal Sample Complexity in Reward-Free Kernel-Based Reinforcement Learning
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Aya Kayal
,
Sattar Vakili
,
Laura Toni
,
Alberto Bernacchia
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Reinforcement Learning Using known Invariances
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Alexandru Cioba
,
Aya Kayal
,
Laura Toni
,
Sattar Vakili
,
Alberto Bernacchia
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The impact of intrinsic rewards on exploration in Reinforcement Learning
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Aya Kayal
,
Eduardo Pignatelli
,
Laura Toni
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The impact of intrinsic rewards on exploration in Reinforcement Learning
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Aya Kayal
,
Eduardo Pignatelli
,
Laura Toni
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A Survey of Temporal Credit Assignment in Deep Reinforcement Learning
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Eduardo Pignatelli
,
Johan Ferret
,
Matthieu Geist
,
Thomas Mesnard
,
Hado van Hasselt
,
Laura Toni
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AGAR - Attention Graph-RNN for Adaptative Motion Prediction of Point Clouds of Deformable Objects
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Pedro Gomes
,
Silvia Rossi
,
Laura Toni
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Assessing the Zero-Shot Capabilities of LLMs for Action Evaluation in RL
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Eduardo Pignatelli
,
Johan Ferret
,
Tim Rocktäschel
,
Edward Grefenstette
,
Davide Paglieri
,
Samuel Coward
,
Laura Toni
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Information-Theoretic Characterizations of Generalization Error for the Gibbs Algorithm
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Gholamali Aminian
,
Yuheng Bu
,
Laura Toni
,
Miguel R. D. Rodrigues
,
Gregory W. Wornell
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Learning Algorithm Generalization Error Bounds via Auxiliary Distributions
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Gholamali Aminian
,
Mohammad Saeed Masiha
,
Laura Toni
,
Miguel R. D. Rodrigues
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