On-policy Safe Reinforcement Learning under Input Saturation and State Constraints for Nonlinear Discrete Time Systems

Authors

Mayank Jha (ORCID: https://orcid.org/0000-0002-6926-1386)
Soha Kanso (ORCID: https://orcid.org/0009-0003-0921-1939)
J-C Ponsart
Satya Marthi
Didier Theilliol

Publication Details

Journal: SPIRE - Sciences Po Institutional REpository
Published: 2025-12-09
Primary Topic: Adaptive Dynamic Programming Control
Type: article
Field-Weighted Citation Impact: 0.00

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article

On-policy Safe Reinforcement Learning under Input Saturation and State Constraints for Nonlinear Discrete Time Systems

Mayank Jha, Soha Kanso, J-C Ponsart, Satya Marthi et al.

Dec 9, 2025

SPIRE - Sciences Po Institutional REpository

Adaptive Dynamic Programming Control

article

On-policy Safe Reinforcement Learning under Input Saturation and State Constraints for Nonlinear Discrete Time Systems

Mayank Jha, Soha Kanso, J-C Ponsart, Satya Marthi, Didier Theilliol

December 9, 2025article en

Abstract

No abstract available for this paper.

SPIRE - Sciences Po Institutional REpository

Openalex Percentile: Top 25%

Adaptive Dynamic Programming Control

OpenAlex

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On-policy Safe Reinforcement Learning under Input Saturation and State Constraints for Nonlinear Discrete Time Systems — Mayank Jha, Soha Kanso, et al. · SPIRE - Sciences Po Institutional REpository (2025) | TGRS Research Map | TGRS