NEAR

NeuroEvolution of Augmented Reservoirs

Description

My PhD thesis, where I developed a methodology (NEAR) for building reservoir computing systems (echo state networks to be exact) through evolution and learning.

Videos

Double pole balancing with incomplete state information using NEAR

Double pole balancing with incomplete state information and damping fitness using NEAR

Double pole balancing with complete state information using NEAR

Related Publications

2013

journal Kyriakos C. Chatzidimitriou, Pericles A. Mitkas: Adaptive reservoir computing through evolution and learning, 2013, Neurocomputing, 103, pp. 198-209 [Code] [DOI: 10.1016/j.neucom.2012.09.022]

2012

thesis Kyriakos C. Chatzidimitriou: Reinforcement learning and evolutionary computing mechanisms for autonomous agents, 2012 [PDF]

My PhD dissertation (in Greek)

2011

conference Kyriakos C. Chatzidimitriou, Anthony C. Chrysopoulos, Andreas L. Symeonidis, Pericles A. Mitkas: Enhancing Agent Intelligence through Evolving Reservoir Networks for Predictions in Power Stock Markets, 2011, ADMI 2011, pp. 228-247 [DOI: 10.1007/978-3-642-27609-5_15]
conference Kyriakos C. Chatzidimitriou, Ioannis Partalas, Pericles A. Mitkas, Ioannis P. Vlahavas: Transferring Evolved Reservoir Features in Reinforcement Learning Tasks, 2011, European Workshop on Reinforcement Learning (EWRL) 2011, pp. 213-224 [DOI: 10.1007/978-3-642-29946-9_22]

2010

other Kyriakos C. Chatzidimitriou, Fotis E. Psomopoulos, Pericles A. Mitkas: Grid-enabled parameter initialization for high performance machine learning tasks, 2010, 5th EGEE User Forum [PDF]
conference Kyriakos C. Chatzidimitriou, Pericles A. Mitkas: A NEAT Way for Evolving Echo State Networks, 2010, European Conference on Artificial Intelligence (ECAI) 2010, pp. 909-914 [DOI: 10.3233/978-1-60750-606-5-909]