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Santiago Paternain

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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Multi-agent assignment via state augmented reinforcement learning

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Jun 03, 2024
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Fast and Accurate Relative Motion Tracking for Two Industrial Robots

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Apr 10, 2024
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Adaptive Primal-Dual Method for Safe Reinforcement Learning

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Feb 01, 2024
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Learning Non-myopic Power Allocation in Constrained Scenarios

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Jan 18, 2024
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Blackout Mitigation via Physics-guided RL

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Jan 17, 2024
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Probabilistic Constraint for Safety-Critical Reinforcement Learning

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Jun 29, 2023
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