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E. Tampubolon, H. Boche
Coordinated Online Learning for Multi-Agent Systems with Coupled Constraints and Perturbed Utility Observations
IEEE Transactions on Automatic Control
2020
Early Access
11
Nov
E. Tampubolon, H. Ceribasic, H. Boche
On Information Asymmetry in Competitive Multi-Agent Reinforcement Learning: Convergence and Optimality
2020
arXiv:2010.10901v2
E. Tampubolon, H. Ceribasic, H. Boche
Resource-Aware Control via Dynamic Pricing for Congestion Game with Finite-Time Guarantees
21st IEEE International Workshop on Signal Processing Advances in Wireless Communications
SPAWC 2020
IEEE
2020
E. Tampubolon, H. Boche
Robust Pricing Mechanism for Resource Sustainability under Privacy Constraint in Competitive Online Learning Multi-Agent Systems
45th International Conference on Acoustics, Speech, and Signal Processing
ICASSP 2020
IEEE
2020
E. Tampubolon, H. Boche
Robust Online Mirror Saddle-Point Method for Constrained Resource Allocation
45th International Conference on Acoustics, Speech, and Signal Processing
ICASSP 2020
IEEE
2020
E. Tampubolon, H. Boche
Pricing Mechanism for Resource Sustainability in Competitive Online Learning Multi-Agent Systems
2019
arXiv:1910.09314v1
E. Tampubolon, H. Boche
Robust Online Learning for Resource Allocation - Beyond Euclidean Projection and Dynamic Fit
2019
arXiv:1910.09282v1
E. Tampubolon, H. Boche
Semi-Decentralized Coordinated Online Learning for Continuous Games with Coupled Constraints via Augmented Lagrangian
2019
arXiv:1910.09276v1
E. Tampubolon, H. Boche
On the Convergence of Online Mirror Ascent for Aggregative Games with Approximated Aggregates
IEEE International Workshop on Signal Processing Advances in Wireless Communications
SPAWC 2019
IEEE
2019
H. Boche, E. Tampubolon
PAPR Problem for Walsh Systems and Related Problems
IEEE Transactions on Information Theory
2018
64
8
Aug
5531-5548
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