Santiago Paternain
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Santiago Paternain Assistant Professor Office: 6034 Jonsson Engineering Center |
About me
I am an Assistant Professor at the Electrical, Computer and Systems Engineering Department at Rensselaer Polytechnic Institute. Prior to that I was a Postdoctoral Researcher at the Univerisity of Pennsylvania where I also received my Ph.D. in Electrical in Systems Engineering under the supervision of Alejandro Ribeiro.
My research interests lie at the intersection of machine learning and control of dynamical systems.
News
July 2024: We are organizing a tutorial on “Learning under Requirements” at L4DC.
April 2024: Two papers accepted at the Conference for Learning and Control (L4DC).
March 2024: Our paper “Tensor and Matrix Low-Rank Value-Function Approximation in Reinforcement Learning” has been accepted for publication in the IEEE Transactions on Signal Processing.
March 2024: Our paper “Probabilistic Constraint for Safety-Critical Reinforcement Learning” has been accepted for publication in the IEEE Transactions on Automatic Control.
February 2024: We organized a tutorial on “Learning under Requirements” at AAAI with more than 180 registered attendants.
February 2024: Congratulations to Weiqin Chen for being awarded the 2023 Belsky Award for Computational Sciences and Engineering by the School of Engineering.
January 2024: Two papers accepted in the American Control Conference (ACC).
January 2024: Our paper has been accepted in the International Conference on Autonomous Agents and Multi-Agent Systems.
November 2023: Awarded an exploratory grant by the RPI-IBM AI Research Center to control based techniques reinforcement learning.
September 2023: Our paper “State Augmented Constrained Reinforcement Learning: Overcoming the Limitations of Learning with Rewards” has been accepted for publication in the IEEE Transactions on Automatic Control.
January 2023: Awarded an ONR grant for ‘‘A framework for Combining Model-based and Data-driven Control for Autonomous Helicopter Aerial Refueling’’.
November 2022: Awarded an exploratory grant by the RPI-IBM AI Research Center to investigate techniques to improve hyperparameter optimization for safe reinforcement learning.
August 2022: Our paper “Navigation of a Quadratic Potential with Ellipsoidal Obstacles” has been accepted for publication in Automatica.
June 2022: Our paper “Constrained Learning with Non-Convex Losses” has been accepted for publication in the IEEE Transactions on Information Theory.
June 2022: Awarded a grant with The Boeing Company for Systems Installation Robotic Assist.
March 2022: Our paper “Policy Gradient for Continuing Tasks in Discounted Markov Decision Processes” has been accepted for publication in the IEEE Transactions on Automatic Control.
February 2022: Our paper “Safe Policies for Reinforcement Learning via Primal-Dual Methods” has been accepted for publication in the IEEE Transactions on Automatic Control.
October 2021: Our paper “State Augmented Constrained Reinforcement Learning: Overcoming the Limitations of Learning with Rewards” has been accepted to be presented in the Nurips workshop on Safe and Robust Control of Uncertain Systems.
October 2021: Awarded an exploratory grant by the RPI-IBM AI Research Center to investigate improvements to model learning for model-based reinforcement learning.
September 2021: Awared a grant by the Advanced Robotics for Manufacturing (ARM) ‘‘Robot Motion Program for Tracking Complex Geometric Paths’’ (CO-PI).
February 2021: Two papers accepted in the American Control Conference (ACC).
August 2020: I started a position as Assistant Professor at the Electrical, Computer and Systems Engineering Department at Rensselaer Polytechnic Institute.