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Santiago Paternain

Learning Closed-Loop Parametric Nash Equilibria of Multi-Agent Collaborative Field Coverage

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Mar 14, 2025
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DISC: Dynamic Decomposition Improves LLM Inference Scaling

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Feb 23, 2025
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Autonomous helicopter aerial refueling: controller design and performance guarantees

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Feb 21, 2025
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A Tensor Low-Rank Approximation for Value Functions in Multi-Task Reinforcement Learning

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Jan 17, 2025
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A Bi-Level Optimization Approach to Joint Trajectory Optimization for Redundant Manipulators

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Dec 10, 2024
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RL for Mitigating Cascading Failures: Targeted Exploration via Sensitivity Factors

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Nov 27, 2024
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SAD: State-Action Distillation for In-Context Reinforcement Learning under Random Policies

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Oct 25, 2024
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Transfer Learning for a Class of Cascade Dynamical Systems

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Oct 09, 2024
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Domain Adaptation for Offline Reinforcement Learning with Limited Samples

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Aug 22, 2024
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A General Control-Theoretic Approach for Reinforcement Learning: Theory and Algorithms

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Jun 20, 2024
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