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Fernando Acero
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2020 – today
- 2024
- [c3]Kyle Mana, Fernando Acero, Stephen Mak, Parisa Zehtabi, Michael Cashmore, Daniele Magazzeni, Manuela Veloso:
Accelerating Cutting-Plane Algorithms via Reinforcement Learning Surrogates. AAAI 2024: 20786-20793 - [c2]Daniel Chee Hian Tan, Robert McCarthy, Fernando Acero, Andromachi Maria Delfaki, Zhibin Li, Dimitrios Kanoulas:
Safe Value Functions: Learned Critics as Hard Safety Constraints. CASE 2024: 2441-2448 - [i9]Fernando Acero, Zhibin Li:
Distilling Reinforcement Learning Policies for Interpretable Robot Locomotion: Gradient Boosting Machines and Symbolic Regression. CoRR abs/2403.14328 (2024) - [i8]Fernando Acero, Parisa Zehtabi, Nicolas Marchesotti, Michael Cashmore, Daniele Magazzeni, Manuela Veloso:
Deep Reinforcement Learning and Mean-Variance Strategies for Responsible Portfolio Optimization. CoRR abs/2403.16667 (2024) - [i7]Robert McCarthy, Daniel Chee Hian Tan, Dominik Schmidt, Fernando Acero, Nathan Herr, Yilun Du, Thomas George Thuruthel, Zhibin Li:
Towards Generalist Robot Learning from Internet Video: A Survey. CoRR abs/2404.19664 (2024) - [i6]Nathan Herr, Fernando Acero, Roberta Raileanu, María Pérez-Ortiz, Zhibin Li:
Are Large Language Models Strategic Decision Makers? A Study of Performance and Bias in Two-Player Non-Zero-Sum Games. CoRR abs/2407.04467 (2024) - 2023
- [j2]Eleftherios Triantafyllidis, Fernando Acero, Zhaocheng Liu, Zhibin Li:
Hybrid hierarchical learning for solving complex sequential tasks using the robotic manipulation network ROMAN. Nat. Mac. Intell. 5(9): 991-1005 (2023) - [c1]Wenbin Hu, Fernando Acero, Eleftherios Triantafyllidis, Zhaocheng Liu, Zhibin Li:
Modular Neural Network Policies for Learning In-Flight Object Catching with a Robot Hand-Arm System. IROS 2023: 944-951 - [i5]Daniel Chee Hian Tan, Fernando Acero, Robert McCarthy, Dimitrios Kanoulas, Zhibin Li:
Value Functions are Control Barrier Functions: Verification of Safe Policies using Control Theory. CoRR abs/2306.04026 (2023) - [i4]Eleftherios Triantafyllidis, Fernando Acero, Zhaocheng Liu, Zhibin Li:
RObotic MAnipulation Network (ROMAN) - Hybrid Hierarchical Learning for Solving Complex Sequential Tasks. CoRR abs/2307.00125 (2023) - [i3]Wenbin Hu, Fernando Acero, Eleftherios Triantafyllidis, Zhaocheng Liu, Zhibin Li:
Modular Neural Network Policies for Learning In-Flight Object Catching with a Robot Hand-Arm System. CoRR abs/2312.13987 (2023) - 2022
- [j1]Fernando Acero, Kai Yuan, Zhibin Li:
Learning Perceptual Locomotion on Uneven Terrains Using Sparse Visual Observations. IEEE Robotics Autom. Lett. 7(4): 8611-8618 (2022) - 2021
- [i2]Zhaocheng Liu, Fernando Acero, Zhibin Li:
Learning Vision-Guided Dynamic Locomotion Over Challenging Terrains. CoRR abs/2109.04322 (2021) - [i1]Fernando Acero, Kai Yuan, Zhibin Li:
Learning Perceptual Locomotion on Uneven Terrains using Sparse Visual Observations. CoRR abs/2109.14026 (2021)
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last updated on 2024-11-08 20:28 CET by the dblp team
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