Pages that link to "Item:Q5025895"
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The following pages link to Data-driven adaptive dynamic programming for partially observable nonzero-sum games via <i>Q</i>-learning method (Q5025895):
Displaying 9 items.
- Non-zero sum Nash Q-learning for unknown deterministic continuous-time linear systems (Q900691) (← links)
- Output feedback Q-learning for discrete-time linear zero-sum games with application to the \(H_\infty\) control (Q1626885) (← links)
- Learning output reference model tracking for higher-order nonlinear systems with unknown dynamics (Q2004902) (← links)
- Off-policy Q-learning: solving Nash equilibrium of multi-player games with network-induced delay and unmeasured state (Q2063842) (← links)
- Off-policy based adaptive dynamic programming method for nonzero-sum games on discrete-time system (Q2198700) (← links)
- Reinforcement learning and non-zero-sum game output regulation for multi-player linear uncertain systems (Q2288678) (← links)
- Dynamic Graphical Games: (Q3467685) (← links)
- Model-free finite-horizon optimal control of discrete-time two-player zero-sum games (Q6099271) (← links)
- A model-free deep integral policy iteration structure for robust control of uncertain systems (Q6577109) (← links)
