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Publications about 'Multi-agent systems'
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D. Ding.
Provable reinforcement learning for constrained and multi-agent control systems.
PhD thesis,
University of Southern California,
2022.
Keyword(s): Constrained Markov decision processes,
Constrained nonconvex optimization,
Function approximation,
Game-agnostic convergence,
Multi-agent reinforcement learning,
Multi-agent systems,
Natural policy gradient,
Policy gradient methods,
Proximal policy optimization,
Primal-dual algorithms,
Reinforcement learning,
Safe exploration,
Safe reinforcement learning,
Sample complexity,
Stochastic optimization.
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L. Ballotta,
M. R. Jovanovic,
and L. Schenato.
Optimal network topology of multi-agent systems subject to computation and communication latency.
In Proceedings of the 29th Mediterranean Conference on Control and Automation,
Bari, Italy,
pages 249-254,
2021.
Keyword(s): Controller architecture,
Fundamental limitations,
Networks,
Networks of dynamical systems,
Noise amplification,
Performance bounds,
Topology design.
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D. Ding,
X. Wei,
Z. Yang,
Z. Wang,
and M. R. Jovanovic.
Fast multi-agent temporal-difference learning via homotopy stochastic primal-dual method.
In Optimization Foundations for Reinforcement Learning Workshop, 33rd Conference on Neural Information Processing Systems,
Vancouver, Canada,
2019.
Keyword(s): Convex optimization,
Distributed temporal-difference learning,
Multi-agent systems,
Primal-dual algorithms,
Reinforcement learning,
Stochastic optimization.
[bibtex-entry]
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Last modified: Sat Oct 5 22:00:41 2024
Author: mihailo.
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