Adi Makmal

11 papers A 1Journal 10

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Iteration-Free quantum approximate optimization algorithm using neural networks. Quantum Mach. Intell. Ohad Amosy, Tamuz Danzig, Ohad Lev, Ely Porat, Gal Chechik, Adi Makmal
2019	A	`conf`	Pick & merge: an efficient item filtering scheme for Windows store recommendations. RecSys Adi Makmal, Jonathan Ephrath, Hilik Berezin, Liron I. Allerhand, Nir Nice, Noam Koenigstein
2018	J	`jnl`	Benchmarking Projective Simulation in Navigation Problems. IEEE Access Alexey A. Melnikov, Adi Makmal, Hans J. Briegel
2018	J	`jnl`	Benchmarking projective simulation in navigation problems. CoRR Alexey A. Melnikov, Adi Makmal, Hans J. Briegel
2016	J	`jnl`	Meta-learning within Projective Simulation. IEEE Access Adi Makmal, Alexey A. Melnikov, Vedran Dunjko, Hans J. Briegel
2016	J	`jnl`	Meta-learning within Projective Simulation. CoRR Adi Makmal, Alexey A. Melnikov, Vedran Dunjko, Hans J. Briegel
2015	J	`jnl`	Projective Simulation for Classical Learning Agents: A Comprehensive Investigation. New Gener. Comput. Julian Mautner, Adi Makmal, Daniel Manzano, Markus Tiersch, Hans J. Briegel
2015	J	`jnl`	Projective simulation with generalization. CoRR Alexey A. Melnikov, Adi Makmal, Vedran Dunjko, Hans J. Briegel
2014	J	`jnl`	Projective simulation applied to the grid-world and the mountain-car problem. Artif. Intell. Res. Alexey A. Melnikov, Adi Makmal, Hans J. Briegel
2014	J	`jnl`	Projective simulation applied to the grid-world and the mountain-car problem. CoRR Alexey A. Melnikov, Adi Makmal, Hans J. Briegel
2013	J	`jnl`	Projective simulation for classical learning agents: a comprehensive investigation CoRR Julian Mautner, Adi Makmal, Daniel Manzano, Markus Tiersch, Hans J. Briegel