Review
Control-Oriented System Identification: Classical, Learning, and Physics-Informed Approaches
S. Sivaranjani, Yuan-Yuan Shi, Nikolay Atanasov et al.
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Preprint
Sep 2026
SafePG: Safe and Globally Optimal Reinforcement Learning with Hard Constraints
An optimal and convergent model-free policy gradient (PG) reinforcement learning (RL) reinforcement learning framework for controlling nonlinear dynamical systems under hard safety constraints is presented and a model-free PG algorithm based on stochastic gradient ascent is developed.
Vipul K. Sharma, Wesley A. Suttle, S. Sivaranjani
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