Scholar
Santiago Paternain
Google Scholar ID: 9Y1ls-EAAAAJ
Rensselaer Polytechnic Institute
Citations & Impact
Citations
1,569
H-index
18
i10-index
26
Publications
20
Co-authors
70
list available
Publications
Resume (English only)
Academic Achievements
- October 2025: Paper “Random Policy Enables In-Context Reinforcement Learning within Trust Horizons” published in TMLR and received J2C certification
- September 2025: Paper “Dynamic Decomposition DISC” accepted to NeurIPS
- July 2025: Three papers accepted to the Conference on Decision and Control (CDC)
- June 2025: Paper “A Bi-Level Optimization Method for Redundant Dual-Arm Minimum Time Problems” published in IEEE Control Systems Letters
- April 2025: Paper “Random Policy Enables In-Context Reinforcement Learning within Trust Horizons” published in TMLR
- January 2025: Two papers accepted to the American Control Conference (ACC)
- December 2024: Awarded an exploratory grant by RPI-IBM Future of Computing Research Collaboration to improve reasoning capabilities of LLMs
- November 2024: Awarded a DOE grant for “On-site testing and disassembly to enable hierarchical residual value assessments of EV LIB packs at a collection site”
- September 2024: One paper accepted to IEEE Transactions on Power Systems; another to IEEE Robotics and Automation Letters
- April 2024: Two papers accepted to the Conference on Learning for Dynamics and Control (L4DC)
- March 2024: Paper “Tensor and Matrix Low-Rank Value-Function Approximation in Reinforcement Learning” accepted to IEEE Transactions on Signal Processing
- March 2024: Paper “Probabilistic Constraint for Safety-Critical Reinforcement Learning” accepted to IEEE Transactions on Automatic Control
- September 2023: Paper “State Augmented Constrained Reinforcement Learning: Overcoming the Limitations of Learning with Rewards” accepted to 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 for control-based reinforcement learning techniques
- Organized multiple tutorials on “Learning under Requirements” at AAAI 2024, L4DC 2024, and EUSIPCO 2024
