Reinforcement learning for distributed control and multi-player games
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Publication:2094026
DOI10.1007/978-3-030-60990-0_2OpenAlexW3175932586MaRDI QIDQ2094026
Hamidreza Modares, Frank L. Lewis, Bahare Kiumarsi
Publication date: 28 October 2022
Full work available at URL: https://doi.org/10.1007/978-3-030-60990-0_2
Cites Work
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- Neural network approach to continuous-time direct adaptive optimal control for partially unknown nonlinear systems
- Optimal model-free output synchronization of heterogeneous systems using off-policy reinforcement learning
- Computational adaptive optimal control for continuous-time linear systems with completely unknown dynamics
- Integral reinforcement learning and experience replay for adaptive optimal control of partially-unknown constrained-input continuous-time systems
- Multi-player non-zero-sum games: online adaptive learning solution of coupled Hamilton-Jacobi equations
- Adaptive dynamic programming for control. Algorithms and stability
- Model-based reinforcement learning for approximate optimal regulation
- Online actor-critic algorithm to solve the continuous-time infinite horizon optimal control problem
- Adaptive optimal control for continuous-time linear systems based on policy iteration
- Multi-agent differential graphical games: online adaptive learning solution for synchronization with optimality
- Online solution of nonquadratic two-player zero-sum games arising in theH ∞ control of constrained input systems
- Approximate dynamic programming for rail operations
- Linear Quadratic Tracking Control of Partially-Unknown Continuous-Time Systems Using Reinforcement Learning
- Online solution of nonlinear two‐player zero‐sum games using synchronous policy iteration
- \(H^ \infty\)-optimal control and related minimax design problems. A dynamic game approach.
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