Opto-Microfluidic System for Absorbance Measurements in Lithium Niobate Device Applied to pH Measurements. - Riccardo Zamboni; Annamaria Zaltron; Elena Izzo; Gregorio Bottaro; Davide Ferraro; Cinzia Sada (Sensors, 2020)

Adaptive and Energy-Efficient Optimal Control in CPGs Through Tegotae-Based Feedback. - Riccardo Zamboni; Dai Owaki; Mitsuhiro Hayashibe (Frontiers Robotics AI, 2021)

Opto-Microfluidic Integration of the Bradford Protein Assay in Lithium Niobate Lab-on-a-Chip. - Leonardo Zanini; Annamaria Zaltron; Enrico Turato; Riccardo Zamboni; Cinzia Sada (Sensors, 2022)

Distributional Policy Evaluation: a Maximum Entropy approach to Representation Learning. - Riccardo Zamboni; Alberto Maria Metelli; Marcello Restelli (NeurIPS, 2023)

How to Explore with Belief: State Entropy Maximization in POMDPs. - Riccardo Zamboni; Duilio Cirino; Marcello Restelli; Mirco Mutti (ICML, 2024)

The Limits of Pure Exploration in POMDPs: When the Observation Entropy is Enough. - Riccardo Zamboni; Duilio Cirino; Marcello Restelli; Mirco Mutti (RLJ, 2024)

Towards Principled Multi-Agent Task Agnostic Exploration. - Riccardo Zamboni; Mirco Mutti; Marcello Restelli (CoRR, 2025)

Scalable Multi-Agent Offline Reinforcement Learning and the Role of Information. - Riccardo Zamboni; Enrico Brunetti; Marcello Restelli (CoRR, 2025)

Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story. - Vincenzo De Paola; Riccardo Zamboni; Mirco Mutti; Marcello Restelli (CoRR, 2025)

Remembering the Markov Property in Cooperative MARL. - Kale-ab Abebe Tessera; Leonard Hinckeldey; Riccardo Zamboni; David Abel; Amos Storkey (CoRR, 2025)