Noah De Nicola completed his Master’s degree under the supervision of Jonathan Shock and Felix Chalumeau, with a thesis on Reinforcement Learning for Combinatorial Optimisation. He now works as a Research Engineer at InstaDeep, focusing on inference strategies for multi-agent RL. He co-authored MEMENTO (NeurIPS 2025 spotlight) on memory-enhanced neural solvers for routing problems, and contributed to Breaking the Performance Ceiling (NeurIPS 2025 oral) on inference strategies for RL.

Papers: 
Memento
Breaking the performance ceiling