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cs.LG2026
Q(): Entropy-Guided Horizon Mixing in Multi-Discount Q-Learning
Arwa Albelaihi, Abdulrahman Altahhan
A fixed discount factor in Q-learning imposes a single planning horizon throughout training, despite the differing demands of early exploration and long-term credit assignment. We…
cs.LG2025
True Online TD-Replan(lambda) Achieving Planning through Replaying
Abdulrahman Altahhan
In this paper, we develop a new planning method that extends the capabilities of the true online TD to allow an agent to efficiently replay all or part of its past experience, onli…
cs.LG2024
A Neural Network Alternative to Tree-based Models
Salvatore Raieli, Nathalie Jeanray, Stéphane Gerart +2
Tabular datasets are widely used in scientific disciplines such as biology. While these disciplines have already adopted AI methods to enhance their findings and analysis, they mai…