Riccardo Zamboni

According to our database, Riccardo Zamboni authored at least 16 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

CODA: Coordination via On-Policy Diffusion for Multi-Agent Offline Reinforcement Learning.

Marcel Hedman, Kale-ab Abebe Tessera, Juan Claude Formanek, Anya Sims, Riccardo Zamboni, Trevor McInroe, John Torr, Elliot Fosong

CoRR, April, 2026

Unsupervised Behavioral Compression: Learning Low-Dimensional Policy Manifolds through State-Occupancy Matching.

Andrea Fraschini, Davide Tenedini, Riccardo Zamboni, Mirco Mutti, Marcello Restelli

CoRR, March, 2026

Probing Dec-POMDP Reasoning in Cooperative MARL.

Kale-ab Abebe Tessera, Leonard Hinckeldey, Riccardo Zamboni, David Abel, Amos J. Storkey

CoRR, February, 2026

K-Myriad: Jump-starting reinforcement learning with unsupervised parallel agents.

Vincenzo De Paola, Mirco Mutti, Riccardo Zamboni, Marcello Restelli

CoRR, January, 2026

2025

From Parameters to Behavior: Unsupervised Compression of the Policy Space.

Davide Tenedini, Riccardo Zamboni, Mirco Mutti, Marcello Restelli

CoRR, September, 2025

Remembering the Markov Property in Cooperative MARL.

Kale-ab Abebe Tessera, Leonard Hinckeldey, Riccardo Zamboni, David Abel, Amos Storkey

CoRR, July, 2025

Scalable Multi-Agent Offline Reinforcement Learning and the Role of Information.

Riccardo Zamboni, Enrico Brunetti, Marcello Restelli

CoRR, February, 2025

Towards Principled Multi-Agent Task Agnostic Exploration.

Riccardo Zamboni, Mirco Mutti, Marcello Restelli

CoRR, February, 2025

Towards Principled Unsupervised Multi-Agent Reinforcement Learning.

Riccardo Zamboni, Mirco Mutti, Marcello Restelli

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Enhancing Diversity In Parallel Agents: A Maximum State Entropy Exploration Story.

Vincenzo De Paola, Riccardo Zamboni, Mirco Mutti, Marcello Restelli

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

The Limits of Pure Exploration in POMDPs: When the Observation Entropy is Enough.

Riccardo Zamboni, Duilio Cirino, Marcello Restelli, Mirco Mutti

RLJ, 2024

How to Explore with Belief: State Entropy Maximization in POMDPs.

Riccardo Zamboni, Duilio Cirino, Marcello Restelli, Mirco Mutti

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Distributional Policy Evaluation: a Maximum Entropy approach to Representation Learning.

Riccardo Zamboni, Alberto Maria Metelli, Marcello Restelli

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

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

2021

Adaptive and Energy-Efficient Optimal Control in CPGs Through Tegotae-Based Feedback.

Riccardo Zamboni, Dai Owaki, Mitsuhiro Hayashibe

Frontiers Robotics AI, 2021

2020

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