Kernelized Lipschitz estimation combined with SDP yields admissible initial policies for ADP on uncertain discrete-time dynamics with probabilistic safety and closed-loop exponential stability.
Game theory-based control system algorithms with real-time reinforcement learning: How to solve multiplayer games online,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.SY 1years
2019 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Safe Approximate Dynamic Programming Via Kernelized Lipschitz Estimation
Kernelized Lipschitz estimation combined with SDP yields admissible initial policies for ADP on uncertain discrete-time dynamics with probabilistic safety and closed-loop exponential stability.