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Remo Sasso
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2020 – today
- 2025
[i8]Remo Sasso, Michelangelo Conserva, Dominik Jeurissen, Paulo E. Rauber:
Foundation Models as World Models: A Foundational Study in Text-Based GridWorlds. CoRR abs/2509.15915 (2025)
[i7]Michelangelo Conserva, Remo Sasso, Paulo E. Rauber:
On the Limits of Tabular Hardness Metrics for Deep RL: A Study with the Pharos Benchmark. CoRR abs/2509.17092 (2025)
[i6]Remo Sasso, Michelangelo Conserva, Dominik Jeurissen, Paulo E. Rauber:
Exploration with Foundation Models: Capabilities, Limitations, and Hybrid Approaches. CoRR abs/2509.19924 (2025)- 2024
[j2]Hamidreza Kasaei
, Mohammadreza Kasaei, Georgios Tziafas, Sha Luo
, Remo Sasso:
Simultaneous Multi-View Object Recognition and Grasping in Open-Ended Domains. J. Intell. Robotic Syst. 110(2): 62 (2024)
[i5]Marius Captari, Remo Sasso, Matthia Sabatelli:
VDSC: Enhancing Exploration Timing with Value Discrepancy and State Counts. CoRR abs/2403.17542 (2024)- 2023
[j1]Remo Sasso, Matthia Sabatelli, Marco A. Wiering:
Multi-Source Transfer Learning for Deep Model-Based Reinforcement Learning. Trans. Mach. Learn. Res. 2023 (2023)
[c1]Remo Sasso, Michelangelo Conserva, Paulo E. Rauber:
Posterior Sampling for Deep Reinforcement Learning. ICML 2023: 30042-30061
[i4]Remo Sasso, Michelangelo Conserva, Paulo E. Rauber:
Posterior Sampling for Deep Reinforcement Learning. CoRR abs/2305.00477 (2023)- 2022
[i3]Remo Sasso, Matthia Sabatelli, Marco A. Wiering:
Multi-Source Transfer Learning for Deep Model-Based Reinforcement Learning. CoRR abs/2205.14410 (2022)- 2021
[i2]S. Hamidreza Kasaei, Sha Luo, Remo Sasso, Mohammadreza Kasaei:
Simultaneous Multi-View Object Recognition and Grasping in Open-Ended Domains. CoRR abs/2106.01866 (2021)
[i1]Remo Sasso, Matthia Sabatelli, Marco A. Wiering:
Fractional Transfer Learning for Deep Model-Based Reinforcement Learning. CoRR abs/2108.06526 (2021)
Coauthor Index

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