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Santiago Paternain — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Santiago Paternain
18
papers ·
29
citations ·
13
h-index
Rensselaer Polytechnic Institute
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
Safe Policies for Reinforcement Learning via Primal-Dual Methods
2019 · 12 citations
Constrained Reinforcement Learning Has Zero Duality Gap
2019 · 10 citations
Blackout Mitigation via Physics-guided RL
2024 · 3 citations
State Augmented Constrained Reinforcement Learning: Overcoming the Limitations of Learning with Rewards
2021 · 2 citations
Random Policy Enables In-Context Reinforcement Learning within Trust Horizons
2024 · 1 citations
Adaptive Primal-Dual Method for Safe Reinforcement Learning
2024 · 1 citations
ConstrainedSQL: Training LLMs for Text2SQL via Constrained Reinforcement Learning
2025
Filtering Learning Histories Enhances In-Context Reinforcement Learning
2025
The Lagrangian Method for Solving Constrained Markov Games
2025
A Tensor Low-Rank Approximation for Value Functions in Multi-Task Reinforcement Learning
2025
Policy Gradients for Probabilistic Constrained Reinforcement Learning
2022
Probabilistic Constraint for Safety-Critical Reinforcement Learning
2023
Multi-agent assignment via state augmented reinforcement learning
2024
A General Control-Theoretic Approach for Reinforcement Learning: Theory and Algorithms
2024
Transfer Learning for a Class of Cascade Dynamical Systems
2024
Top co-authors
Dharmashankar Subramanian
· 5
Weiqin Chen
· 5
Miguel Calvo-Fullana
· 4
Alejandro Ribeiro
· 3
Luiz F. O. Chamon
· 3
Ali Tajer
· 2
Anmol Dwivedi
· 2
Juan Andres Bazerque
· 2
Sandipan Mishra
· 2
Weiqin Chen
· 2
Antonio G. Marqués
· 1
Ceyhun Eksin
· 1
Topics
Safe RL
Model-Based RL
Policy Gradient
Value-Based
Multi-Agent
Offline RL
RLHF & Alignment
Game AI
Exploration