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cs.LG2026
Federated Distributional Reinforcement Learning with Distributional Critic Regularization
David Millard, Cecilia Alm, Rashid Ali +2
Federated reinforcement learning typically aggregates value functions or policies by parameter averaging, which emphasizes expected return and can obscure statistical multimodality…
cs.LG2026
Logic-Guided Vector Fields for Constrained Generative Modeling
Ali Baheri
Neuro-symbolic systems aim to combine the expressive structure of symbolic logic with the flexibility of neural learning; yet, generative models typically lack mechanisms to enforc…
cs.LG2025
Geometry-Aware Backdoor Attacks: Leveraging Curvature in Hyperbolic Embeddings
Ali Baheri
Non-Euclidean foundation models increasingly place representations in curved spaces such as hyperbolic geometry. We show that this geometry creates a boundary-driven asymmetry that…