Pages that link to "Item:Q900691"
From MaRDI portal
The following pages link to Non-zero sum Nash Q-learning for unknown deterministic continuous-time linear systems (Q900691):
Displaying 26 items.
- Multi-player non-zero-sum games: online adaptive learning solution of coupled Hamilton-Jacobi equations (Q642894) (← links)
- Model-free \(Q\)-learning designs for linear discrete-time zero-sum games with application to \(H^\infty\) control (Q875484) (← links)
- Stochastic and adaptive optimal control of uncertain interconnected systems: a data-driven approach (Q1647808) (← links)
- Optimized control for human-multi-robot collaborative manipulation via multi-player Q-learning (Q2041406) (← links)
- Off-policy Q-learning: solving Nash equilibrium of multi-player games with network-induced delay and unmeasured state (Q2063842) (← links)
- Dissipativity-based verification for autonomous systems in adversarial environments (Q2094038) (← links)
- Output feedback adaptive dynamic programming for linear differential zero-sum games (Q2208596) (← links)
- Online reinforcement learning multiplayer non-zero sum games of continuous-time Markov jump linear systems (Q2246023) (← links)
- Reinforcement learning and non-zero-sum game output regulation for multi-player linear uncertain systems (Q2288678) (← links)
- Adaptive optimal tracking controls of unknown multi-input systems based on nonzero-sum game theory (Q2327798) (← links)
- Linear quadratic tracking control of unknown systems: a two-phase reinforcement learning method (Q2682307) (← links)
- Reinforcement learning for exploratory linear-quadratic two-person zero-sum stochastic differential games (Q2700375) (← links)
- ∊-Optimal nonlinear reinforcement scheme under a nonstationary muititeacher environment (Q3219111) (← links)
- Data-driven adaptive dynamic programming for partially observable nonzero-sum games via <i>Q</i>-learning method (Q5025895) (← links)
- Non-zero sum differential graphical game: cluster synchronisation for multi-agents with partially unknown dynamics (Q5197945) (← links)
- Deep Q-Learning for Nash Equilibria: Nash-DQN (Q5879350) (← links)
- Optimal power control for sensors and DoS attackers over a fading channel network (Q6053826) (← links)
- Off‐policy integral reinforcement learning‐based optimal tracking control for a class of nonzero‐sum game systems with unknown dynamics (Q6054473) (← links)
- Adaptive optimal control of continuous-time nonlinear affine systems via hybrid iteration (Q6073102) (← links)
- Learning‐based <i>T</i>‐sHDP() for optimal control of a class of nonlinear discrete‐time systems (Q6085183) (← links)
- Inverse reinforcement learning for identification of linear-quadratic zero-sum differential games (Q6099685) (← links)
- Reinforcement learning for non-stationary discrete-time linear-quadratic mean-field games in multiple populations (Q6159510) (← links)
- Model-free policy iteration approach to NCE-based strategy design for linear quadratic Gaussian games (Q6165338) (← links)
- \(Q\)-learning-based non-zero sum games for Markov jump multiplayer systems under actor-critic NNs structure (Q6588372) (← links)
- Reinforcement learning for inverse linear-quadratic dynamic non-cooperative games (Q6590440) (← links)
- Safe tracking in games: achieving optimal control with unknown dynamics and constraints (Q6663580) (← links)
