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cs.LG2026
Upper-Expectile Multi-Step Q-Learning for Off-Policy Reinforcement Learning
Abdelghani Ghanem, Mounir Ghogho
Multi-step returns accelerate reward propagation in off-policy reinforcement learning, but couple the evaluation of each decision to the suboptimal logged actions that follow it, i…
cs.LG2026
Entropy-Regularized Adjoint Matching for Offline Reinforcement Learning
Abdelghani Ghanem, Mounir Ghogho
Integrating expressive generative policies, such as flow-matching models, into offline reinforcement learning (RL) allows agents to capture complex, multi-modal behaviors. While Q-…
cs.LG2026
Balancing Stability and Plasticity in Sequentially Trained Early-Exiting Neural Networks
Alaa Zniber, Ouassim Karrakchou, Mounir Ghogho
Early-exiting neural networks enable adaptive inference by allowing inputs to exit at intermediate classifiers, reducing computation for easy samples while maintaining high accurac…