Giuseppe Paolo

Huawei Technologies (Sweden) — Sweden

Computer Science · Physical Sciences

5h-index911citations25works0.72yr avg
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Research Topics

Reinforcement Learning in Robotics(11), Robotic Path Planning Algorithms(3), Robotic Locomotion and Control(3), Autonomous Vehicle Technology and Safety(3), Time Series Analysis and Forecasting(3)

Publications25 total

Solving a Million-Step LLM Task with Zero Errors
arXiv (Cornell University)·2025Open Access
Kolb-Based Experiential Learning for Generalist Agents with Human-Level Kaggle Data Science Performance
2025Open Access
Human in the Loop Adaptive Optimization for Improved Time Series Forecasting
arXiv (Cornell University)·2025Open Access
TAG: A Decentralized Framework for Multi-Agent Hierarchical Reinforcement Learning
arXiv (Cornell University)·2025Open Access
AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting
arXiv (Cornell University)·2025Open Access
Kolb-Based Experiential Learning for Generalist Agents with Human-Level Kaggle Data Science Performance
arXiv (Cornell University)·2024· 1 citedOpen Access
Zero-shot Model-based Reinforcement Learning using Large Language Models
arXiv (Cornell University)·2024Open Access
SAMformer: Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention
arXiv (Cornell University)·2024· 1 citedOpen Access
A call for embodied AI
arXiv (Cornell University)·2024· 3 citedOpen Access
A Multi-step Loss Function for Robust Learning of the Dynamics in Model-based Reinforcement Learning
arXiv (Cornell University)·2024· 2 citedOpen Access
Multi-timestep models for Model-based Reinforcement Learning
arXiv (Cornell University)·2023Open Access
Discovering and Exploiting Sparse Rewards in a Learned Behavior Space
Evolutionary Computation·2023· 3 cited
Editorial to the “Evolutionary Reinforcement Learning” Special Issue
ACM Transactions on Evolutionary Learning and Optimization·2023
Guided Safe Shooting: model based reinforcement learning with safety constraints
arXiv (Cornell University)·2022Open Access
Learning in Sparse Rewards settings through Quality-Diversity algorithms
arXiv (Cornell University)·2022Open Access
Learning in Sparse Rewards setting through Quality Diversity algorithms
theses.fr (ABES)·2021Open Access
Discovering and Exploiting Sparse Rewards in a Learned Behavior Space
arXiv (Cornell University)·2021Open Access
Novelty search makes evolvability inevitable
2020· 5 citedOpen Access
Unsupervised Learning and Exploration of Reachable Outcome Space
2020Open Access
A Data-driven Model for Interaction-Aware Pedestrian Motion Prediction in Object Cluttered Environments
2018· 5 citedOpen Access
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Frequent Co-authors

Albert Thomas(8), Abdelhakim Benechehab(7), Balázs Kégl(6), Stéphane Doncieux(4), Alban Laflaquière(4), Maurizio Filippone(4), Lei Tai(3), Ming Liu(3), Alexandre Coninx(3), Hamza Cherkaoui(3), Balázs Kégl(3), Hannes Sommer(2), Roland Siegwart(2), César Cadena(2), Jonas Gonzalez-Billandon(2), Antoine Grosnit(2), Alexandre Maraval(2), J. Doran(2), Juan M. González(2), Khyati Khandelwal(2)