Multi-agent reinforcement learning via distributed MPC as a function approximator
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Publication:6585453
DOI10.1016/j.automatica.2024.111803zbMath1542.93094MaRDI QIDQ6585453
Azita Dabiri, Bart De Schutter, Filippo Airaldi, Samuel Mallick
Publication date: 9 August 2024
Published in: Automatica (Search for Journal in Brave)
Learning and adaptive systems in artificial intelligence (68T05) Multi-agent systems (93A16) Networked control (93B70) Model predictive control (93B45)
Cites Work
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- Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
- On constrained infinite-time linear quadratic optimal control
- Constrained model predictive control: Stability and optimality
- Learning for MPC with stability \& safety guarantees
- The scenario approach for stochastic model predictive control with bounds on closed-loop constraint violations
- Consensus and Cooperation in Networked Multi-Agent Systems
- Learning Model Predictive Control for Iterative Tasks. A Data-Driven Control Framework
- Safe Reinforcement Learning Using Robust MPC
- Data-Driven Economic NMPC Using Reinforcement Learning
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