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Fernando Acero

Hybrid hierarchical learning for solving complex sequential tasks using the robotic manipulation network ROMAN
2023 · Eleftherios Triantafyllidis, Fernando Acero, et al. · Nature Machine Intelligence · 42
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Learning Perceptual Locomotion on Uneven Terrains Using Sparse Visual Observations
2022 · Fernando Acero, Kai Yuan, et al. · IEEE Robotics and Automation Letters · 12
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Towards Generalist Robot Learning from Internet Video: A Survey
2025 · Robert McCarthy, Daniel C.H. Tan, et al. · Journal of Artificial Intelligence Research · 9
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Modular Neural Network Policies for Learning In-Flight Object Catching with a Robot Hand-Arm System
2023 · Wenbin Hu, Fernando Acero, et al. · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · 4
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Discovery of skill-switching criteria for learning agile quadruped locomotion
2026 · Wanming Yu, Fernando Acero, et al. · Frontiers in Robotics and AI · 3
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Distilling Reinforcement Learning Policies for Interpretable Robot Locomotion: Gradient Boosting Machines and Symbolic Regression
2024 · Fernando Acero, Zhibin Li · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · 3
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Deep Reinforcement Learning and Mean-Variance Strategies for Responsible Portfolio Optimization
2024 · Acero, Fernando, Zehtabi, Parisa, et al. · arXiv (Cornell University) · 2
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Accelerating Cutting-Plane Algorithms via Reinforcement Learning Surrogates
2024 · Kyle Mana, Fernando Acero, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2
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Value Functions are Control Barrier Functions: Verification of Safe Policies using Control Theory
2023 · Tan, Daniel C. H., Acero, Fernando, et al. · arXiv (Cornell University) · 2
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Safe Value Functions: Learned Critics as Hard Safety Constraints
2024 · Daniel C.H. Tan, Robert McCarthy, et al. · IEEE International Conference on Automation Science and Engineering (CASE) · 1
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Learning Vision-Guided Dynamic Locomotion Over Challenging Terrains
2021 · Liu, Zhaocheng, Acero, Fernando, et al. · arXiv (Cornell University) · 1
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What Do Foundation Models for Market Microstructure Learn? A Controlled Study with Synthetic Limit Order Books
2026 · Acero, Fernando · arXiv (Cornell University)
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Reinforcement Learning with Hawkes-Structured Networks for Market Making
2026 · Acero, Fernando, Plank, Philipp, et al. · arXiv (Cornell University)
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Diffusion models for dynamic volatility surface generation and data-driven hedging
2026 · Han, Yinbin, Zhang, Jack Yuxiang, et al. · arXiv (Cornell University)
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Entropy Regularization Improves Policy Robustness in Continuous-Time Reinforcement Learning
2026 · Cao, Jialun, Acero, Fernando, et al. · arXiv (Cornell University)
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When Do We Need LLMs? A Diagnostic for Language-Driven Bandits
2026 · Berdica, Uljad, Acero, Fernando, et al. · arXiv (Cornell University)
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Towards Generalist Robot Learning from Internet Video: A Survey (Abstract Reprint)
2026 · Robert McCarthy, Daniel C.H. Tan, et al. · Proceedings of the AAAI Conference on Artificial Intelligence
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Distill and Align Decomposition for Enhanced Claim Verification
2026 · Association for Computational Linguistics 2026, Acero, Fernando, et al. · Underline Science Inc.
Distill and Align Decomposition for Enhanced Claim Verification
2026 · Magomere, Jabez, Kochkina, Elena, et al. · arXiv (Cornell University)
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Distill and Align Decomposition for Enhanced Claim Verification
2026 · Jabez Magomere, Elena Kochkina, et al. · Findings of the Association for Computational Linguistics: EACL
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Are Large Language Models Strategic Decision Makers? A Study of Performance and Bias in Two-Player Non-Zero-Sum Games
2024 · Herr, Nathan, Acero, Fernando, et al. · arXiv (Cornell University)
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RObotic MAnipulation Network (ROMAN) -- Hybrid Hierarchical Learning for Solving Complex Sequential Tasks
2023 · Triantafyllidis, Eleftherios, Acero, Fernando, et al. · arXiv (Cornell University)
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Works count: 26
Citation count: 82
H-index: 4
I10-index: 2
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