Sequentially updated Probability Collectives. - Michalis Smyrnakis; David S. Leslie (CDC, 2009)

Convergence of Probability Collectives with Adaptive Choice of Temperature Parameters. - Michalis Smyrnakis; David S. Leslie (LION, 2010)

Dynamic Opponent Modelling in Fictitious Play. - Michalis Smyrnakis; David S. Leslie (Comput. J., 2010)

Adaptive Forgetting Factor Fictitious Play - Michalis Smyrnakis; David S. Leslie (CoRR, 2011)

Game-theoretical approaches to decentralised optimisation. - Michalis Smyrnakis (2011)

Multi-agent learning using Fictitious Play and Extended Kalman Filter - Michalis Smyrnakis (CoRR, 2013)

Behaviour Analysis of Mixed Game-Theoretic Learning Algorithms. - Michalis Smyrnakis; Hongyang Qu 001; Sandor M. Veres (AAMAS, 2015)

Learning of cooperative behaviour in robot populations. - Michalis Smyrnakis; Dario Bauso; Paul A. Trodden; Sandor M. Veres (ECC, 2016)

SMCL - Stochastic Model Checker for Learning in Games. - Hongyang Qu 001; Michalis Smyrnakis; Sandor M. Veres (CoRR, 2016)

Collision Avoidance of Two Autonomous Quadcopters. - Michalis Smyrnakis; Jonathan M. Aitken; Sandor M. Veres (CoRR, 2016)

Fictitious play for cooperative action selection in robot teams. - Michalis Smyrnakis; Sandor M. Veres (Eng. Appl. Artif. Intell., 2016)

Empathy in Bimatrix Games. - Brian Powers; Michalis Smyrnakis; Hamidou Tembine (CoRR, 2017)

Path Planning and Task Assignment for Data Retrieval from Wireless Sensor Nodes Relying on Game-Theoretic Learning. - Sotiris Papatheodorou; Michalis Smyrnakis; Hamidou Tembine; Anthony Tzes (CoDIT, 2018)

Consensus over evolutionary graphs. - Michalis Smyrnakis; Nikolaos M. Freris; Hamidou Tembine (ECC, 2018)

Game theoretic optimal position computation of collaborating agents for visual area coverage. - Sotiris Papatheodorou; Michalis Smyrnakis; Hamidou Tembine; Anthony Tzes (SETN, 2018)

Improving Multi-Robot Coordination by Game-Theoretic Learning Algorithms. - Michalis Smyrnakis; Hongyang Qu 001; Sandor M. Veres (Int. J. Artif. Intell. Tools, 2018)

Game-Theoretic Learning and Allocations in Robust Dynamic Coalitional Games. - Michalis Smyrnakis; Dario Bauso; Hamidou Tembine (SIAM J. Control. Optim., 2019)

Multi-model Adaptive Learning for Robots Under Uncertainty. - Michalis Smyrnakis; Hongyang Qu 001; Dario Bauso; Sandor M. Veres (ICAART (1), 2020)

On the Combination of Game-Theoretic Learning and Multi Model Adaptive Filters. - Michalis Smyrnakis; Hongyang Qu 001; Dario Bauso; Sandor M. Veres (ICAART (Revised Selected Papers), 2020)

A game theoretic approach to curriculum reinforcement learning. - Michalis Smyrnakis; Lan Hoang (ICTAI, 2022)

Formulating a method to analyse the differential expression of co-occurrence networks for small-sampled microbiome data. - Nandini Amit Gadhia; Michalis Smyrnakis; Po-Yu Liu; Damer Blake; Melanie Hay; Anh Nguyen 003; Dong Xia; Ritesh Krishna; Dominic Richards (BCB, 2023)