Niccolò Turcato

Orcid: 0000-0002-2995-4110

According to our database1, Niccolò Turcato authored at least 13 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2025
Towards Autonomous Reinforcement Learning for Real-World Robotic Manipulation With Large Language Models.
IEEE Robotics Autom. Lett., September, 2025

Finetuning Deep Reinforcement Learning Policies with Evolutionary Strategies for Control of Underactuated Robots.
CoRR, July, 2025

Learning global control of underactuated systems with Model-Based Reinforcement Learning.
CoRR, April, 2025

Reinforcement Learning for Robust Athletic Intelligence: Lessons from the 2nd 'AI Olympics with RealAIGym' Competition.
CoRR, March, 2025

Data efficient Robotic Object Throwing with Model-Based Reinforcement Learning.
CoRR, February, 2025

2024
Edge Delayed Deep Deterministic Policy Gradient: efficient continuous control for edge scenarios.
CoRR, 2024

Learning control of underactuated double pendulum with Model-Based Reinforcement Learning.
CoRR, 2024

AI Olympics challenge with Evolutionary Soft Actor Critic.
CoRR, 2024

Exploiting Estimation Bias in Deep Double Q-Learning for Actor-Critic Methods.
CoRR, 2024

Reinforcement Learning for Athletic Intelligence: Lessons from the 1st "AI Olympics with RealAIGym" Competition.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Nonlinear Model Predictive Control of a BMI-Guided Wheelchair for Navigation in Unknown Environments.
Proceedings of the European Control Conference, 2024

2023
Teaching a Robot to Toss Arbitrary Objects with Model-Based Reinforcement Learning.
Proceedings of the 9th International Conference on Control, 2023

2022
Advantages of a physics-embedding kernel for robot inverse dynamics identification.
Proceedings of the 30th Mediterranean Conference on Control and Automation, 2022


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