Learning Vision-Guided Dynamic Locomotion Over Challenging Terrains. - Zhaocheng Liu; Fernando Acero; Zhibin Li 001 (CoRR, 2021)

Learning Perceptual Locomotion on Uneven Terrains Using Sparse Visual Observations. - Fernando Acero; Kai Yuan; Zhibin Li 001 (IEEE Robotics Autom. Lett., 2022)

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 001 (IROS, 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 001 (CoRR, 2023)

RObotic MAnipulation Network (ROMAN) - Hybrid Hierarchical Learning for Solving Complex Sequential Tasks. - Eleftherios Triantafyllidis; Fernando Acero; Zhaocheng Liu; Zhibin Li 001 (CoRR, 2023)

Hybrid hierarchical learning for solving complex sequential tasks using the robotic manipulation network ROMAN. - Eleftherios Triantafyllidis; Fernando Acero; Zhaocheng Liu; Zhibin Li 001 (Nat. Mac. Intell., 2023)

Accelerating Cutting-Plane Algorithms via Reinforcement Learning Surrogates. - Kyle Mana; Fernando Acero; Stephen Mak; Parisa Zehtabi; Michael Cashmore; Daniele Magazzeni; Manuela Veloso (AAAI, 2024)

Safe Value Functions: Learned Critics as Hard Safety Constraints. - Daniel Chee Hian Tan; Robert McCarthy; Fernando Acero; Andromachi Maria Delfaki; Zhibin Li 001; Dimitrios Kanoulas (CASE, 2024)

Distilling Reinforcement Learning Policies for Interpretable Robot Locomotion: Gradient Boosting Machines and Symbolic Regression. - Fernando Acero; Zhibin Li 001 (IROS, 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)

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 001; Zhibin Li 001 (CoRR, 2024)

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 001 (J. Artif. Intell. Res., 2025)

Discovery of skill switching criteria for learning agile quadruped locomotion. - Wanming Yu; Fernando Acero; Vassil Atanassov; Chuanyu Yang; Ioannis Havoutis; Dimitrios Kanoulas; Zhibin Li 001 (CoRR, 2025)