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Adaptive Online Distributed Optimal Control of Very-Large-Scale Robotic
  Systems

Adaptive Online Distributed Optimal Control of Very-Large-Scale Robotic Systems

4 March 2020
Pingping Zhu
Chang-rui Liu
Silvia Ferrari
ArXivPDFHTML

Papers citing "Adaptive Online Distributed Optimal Control of Very-Large-Scale Robotic Systems"

5 / 5 papers shown
Title
Scaling Robust Optimization for Multi-Agent Robotic Systems: A Distributed Perspective
Scaling Robust Optimization for Multi-Agent Robotic Systems: A Distributed Perspective
Arshiya Taj Abdul
A. Saravanos
Evangelos A. Theodorou
50
1
0
26 Feb 2024
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and
  Algorithms
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms
Kai Zhang
Zhuoran Yang
Tamer Basar
110
1,197
0
24 Nov 2019
Model-Free Mean-Field Reinforcement Learning: Mean-Field MDP and
  Mean-Field Q-Learning
Model-Free Mean-Field Reinforcement Learning: Mean-Field MDP and Mean-Field Q-Learning
René Carmona
Mathieu Laurière
Zongjun Tan
OffRL
49
97
0
28 Oct 2019
Linear-Quadratic Mean-Field Reinforcement Learning: Convergence of Policy Gradient Methods
Linear-Quadratic Mean-Field Reinforcement Learning: Convergence of Policy Gradient Methods
René Carmona
Mathieu Laurière
Zongjun Tan
61
61
0
09 Oct 2019
Scalable Centralized Deep Multi-Agent Reinforcement Learning via Policy
  Gradients
Scalable Centralized Deep Multi-Agent Reinforcement Learning via Policy Gradients
Arbaaz Khan
Clark Zhang
Daniel D. Lee
Vijay Kumar
Alejandro Ribeiro
24
30
0
22 May 2018
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