Panayotis Mertikopoulos
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2017
[J23] On the robustness of learning in games with stochastically perturbed payoff observations
[J22] Distributed stochastic optimization via matrix exponential learning
[J21] A continuous-time approach to online optimization
[J20] Semi-cognitive radio networks: A novel dynamic spectrum sharing mechanism
[J19] Auction-based resource allocation in OpenFlow multi-tenant networks
[J18] Mixed-strategy learning with continuous action sets
[C34] The asymptotic behavior of the price of anarchy
[C33] Countering feedback delays in multi-agent learning
[C32] Stochastic mirror descent in variationally coherent optimization problems
[C31] Learning with bandit feedback in potential games
[C30] Least action routing: Identifying the optimal path in a wireless relay network
[C29] Power control in wireless networks via dual averaging
[C28] Mirror descent learning in continuous games
[C27] Convergence to Nash equilibrium in continuous games with noisy first-order feedback
[C26] Hedging under uncertainty: regret minimization meets exponentially fast convergence
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Wouter Beeftink