Fernando Acero

According to our database, Fernando Acero authored at least 16 papers between 2021 and 2026.

Collaborative distances:

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

2026

When Do We Need LLMs? A Diagnostic for Language-Driven Bandits.

Uljad Berdica, Fernando Acero, Anton Ipsen, Parisa Zehtabi, Michael Cashmore, Manuela Veloso

CoRR, April, 2026

Discovery of skill-switching criteria for learning agile quadruped locomotion.

Wanming Yu, Fernando Acero, Vassil Atanassov, Chuanyu Yang, Ioannis Havoutis, Dimitrios Kanoulas, Zhibin Li

Frontiers Robotics AI, 2026

Distill and Align Decomposition for Enhanced Claim Verification.

Jabez Magomere, Elena Kochkina, Samuel Mensah, Simerjot Kaur, Fernando Acero, Arturo Oncevay, Charese Smiley, Xiaomo Liu, Manuela Veloso

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

Towards Generalist Robot Learning from Internet Video: A Survey (Abstract Reprint).

Robert McCarthy, Daniel Chee Hian Tan, Dominik Schmidt, Fernando Acero, Nathan Herr, Yilun Du, Thomas George Thuruthel, Zhibin Li

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Towards Generalist Robot Learning from Internet Video: A Survey.

Robert McCarthy, Daniel Chee Hian Tan, Dominik Schmidt, Fernando Acero, Nathan Herr, Yilun Du, Thomas George Thuruthel, Zhibin Li

J. Artif. Intell. Res., 2025

2024

Are Large Language Models Strategic Decision Makers? A Study of Performance and Bias in Two-Player Non-Zero-Sum Games.

Nathan Herr, Fernando Acero, Roberta Raileanu, María Pérez-Ortiz, Zhibin Li

CoRR, 2024

Deep Reinforcement Learning and Mean-Variance Strategies for Responsible Portfolio Optimization.

Fernando Acero, Parisa Zehtabi, Nicolas Marchesotti, Michael Cashmore, Daniele Magazzeni, Manuela Veloso

CoRR, 2024

Distilling Reinforcement Learning Policies for Interpretable Robot Locomotion: Gradient Boosting Machines and Symbolic Regression.

Fernando Acero, Zhibin Li

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Safe Value Functions: Learned Critics as Hard Safety Constraints.

Daniel Chee Hian Tan, Robert McCarthy, Fernando Acero, Andromachi Maria Delfaki, Zhibin Li, Dimitrios Kanoulas

Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024

Accelerating Cutting-Plane Algorithms via Reinforcement Learning Surrogates.

Kyle Mana, Fernando Acero, Stephen Mak, Parisa Zehtabi, Michael Cashmore, Daniele Magazzeni, Manuela Veloso

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Hybrid hierarchical learning for solving complex sequential tasks using the robotic manipulation network ROMAN.

Eleftherios Triantafyllidis, Fernando Acero, Zhaocheng Liu, Zhibin Li

Nat. Mac. Intell., September, 2023

RObotic MAnipulation Network (ROMAN) - Hybrid Hierarchical Learning for Solving Complex Sequential Tasks.

Eleftherios Triantafyllidis, Fernando Acero, Zhaocheng Liu, Zhibin Li

CoRR, 2023

Value Functions are Control Barrier Functions: Verification of Safe Policies using Control Theory.

Daniel Chee Hian Tan, Fernando Acero, Robert McCarthy, Dimitrios Kanoulas, Zhibin Li

CoRR, 2023

Modular Neural Network Policies for Learning In-Flight Object Catching with a Robot Hand-Arm System.

Wenbin Hu, Fernando Acero, Eleftherios Triantafyllidis, Zhaocheng Liu, Zhibin Li

IROS, 2023

2022

Learning Perceptual Locomotion on Uneven Terrains Using Sparse Visual Observations.

Fernando Acero, Kai Yuan, Zhibin Li

IEEE Robotics Autom. Lett., 2022

2021

Learning Vision-Guided Dynamic Locomotion Over Challenging Terrains.

Zhaocheng Liu, Fernando Acero, Zhibin Li

CoRR, 2021