Michelangelo Conserva

According to our database, Michelangelo Conserva authored at least 12 papers between 2021 and 2025.

Collaborative distances:

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

2025

Exploration with Foundation Models: Capabilities, Limitations, and Hybrid Approaches.

Remo Sasso, Michelangelo Conserva, Dominik Jeurissen, Paulo E. Rauber

CoRR, September, 2025

On the Limits of Tabular Hardness Metrics for Deep RL: A Study with the Pharos Benchmark.

Michelangelo Conserva, Remo Sasso, Paulo E. Rauber

CoRR, September, 2025

Foundation Models as World Models: A Foundational Study in Text-Based GridWorlds.

Remo Sasso, Michelangelo Conserva, Dominik Jeurissen, Paulo E. Rauber

CoRR, September, 2025

Mapping Farmed Landscapes from Remote Sensing.

Michelangelo Conserva, Alex Wilson, Charlotte Stanton, Vishal Batchu, Varun Gulshan

CoRR, June, 2025

Heterogenous graph neural networks for species distribution modeling.

Lauren Harrell, Christine Kaeser-Chen, Burcu Karagol Ayan, Keith Anderson, Michelangelo Conserva, Elise Kleeman, Maxim Neumann, Matt Overlan, Melissa Chapman, Drew Purves

CoRR, March, 2025

2023

Posterior Sampling for Deep Reinforcement Learning.

Remo Sasso, Michelangelo Conserva, Paulo E. Rauber

Proceedings of the International Conference on Machine Learning, 2023

2022

The Graph Cut Kernel for Ranked Data.

Michelangelo Conserva, Marc Peter Deisenroth, K. S. Sesh Kumar

Trans. Mach. Learn. Res., 2022

Recurrent Neural-Linear Posterior Sampling for Nonstationary Contextual Bandits.

Aditya A. Ramesh, Paulo E. Rauber, Michelangelo Conserva, Jürgen Schmidhuber

Neural Comput., 2022

Hardness in Markov Decision Processes: Theory and Practice.

Michelangelo Conserva, Paulo E. Rauber

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Turning Zeroes into Non-Zeroes: Sample Efficient Exploration with Monte Carlo Graph Search.

Marko Tot, Michelangelo Conserva, Diego Perez Liebana, Sam Devlin

Proceedings of the IEEE Conference on Games, CoG 2022, Beijing, 2022

2021

Submodular Kernels for Efficient Rankings.

Michelangelo Conserva, Marc Peter Deisenroth, K. S. Sesh Kumar

CoRR, 2021

What Are You Looking At? Team Fight Prediction Through Player Camera.

Marko Tot, Michelangelo Conserva, Alan Pedrassoli Chitayat, Athanasios Vasileios Kokkinakis, Sagarika Patra, Simon Demediuk, Alvaro Caceres Munoz, Oluseyi Olarewaju, Marian Ursu, Ben Kirman, Jonathan Hook, Florian Block, Anders Drachen, Diego Pérez-Liébana

Proceedings of the 2021 IEEE Conference on Games (CoG), 2021