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Published in American Control Conference (ACC 2026), 2025
A hybrid reinforcement learning and bounded extremum seeking framework for improving robustness in nonlinear time-varying systems.
Recommended citation: Shaifalee Saxena, Alan Williams, Rafael Fierro, and Alexander Scheinker. (2026). "Improved Robustness of Deep Reinforcement Learning for Control of Time-Varying Systems by Bounded Extremum Seeking." American Control Conference (ACC 2026).
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Published in arXiv preprint, 2026
Improving robotic manipulation performance under distribution shift by combining reinforcement learning with bounded extremum seeking.
Recommended citation: Shaifalee Saxena, Rafael Fierro, and Alexander Scheinker. (2026). "Deep Reinforcement Learning for Robotic Manipulation under Distribution Shift with Bounded Extremum Seeking." arXiv preprint arXiv:2604.01142.
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Published in ICML RLxF Workshop 2026, 2026
Mahalanobis-guided latent out-of-distribution detection for switching between reinforcement learning and bounded extremum seeking in nonlinear time-varying systems.
Recommended citation: Shaifalee Saxena and Alexander Scheinker. (2026). "Mahalanobis-Guided Latent OOD Detection for Hybrid ES-DRL Control in Time-Varying Systems." ICML RLxF Workshop 2026.
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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