2 papers
math.PR2025
Markov decision processes: on the convergence of the Monte-Carlo first visit algorithm
Sylvain Delattre, Nicolas Fournier
We consider the Monte-Carlo first visit algorithm, of which the goal is to find the optimal control in a Markov decision process with finite state space and finite number of possib…
cs.LG2025
Conditional Distribution Quantization in Machine Learning
Blaise Delattre, Sylvain Delattre, Alexandre Vérine +1
Conditional expectation \mathbb{E}(Y \mid X) often fails to capture the complexity of multimodal conditional distributions \mathcal{L}(Y \mid X). To address this, we propose using…