Wojciech Jaśkowski

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Krzysztof KrawiecProfessor of Computer Science, Poznan University of TechnologyVerified email at cs.put.poznan.pl
Marcin SzubertPostdoctoral Researcher, University of VermontVerified email at uvm.edu
Bartosz WielochPoznan University of TechnologyVerified email at cs.put.poznan.pl
Rob Van der LubbeProfessor, Faculty of Physics, Adam Mickiewicz University, PolandVerified email at utwente.nl
Paweł LiskowskiResearch Scientist, SnowflakeVerified email at snowflake.com
James McDermottUniversity of Galway (formerly National University of Ireland, Galway)Verified email at nuigalway.ie
David R WhiteFormer AcademicVerified email at sheffield.ac.uk
Luca ManzoniDipartimento di Matematica, Informatica e Geoscienze, Università degli Studi di TriesteVerified email at units.it
Sean LukeDepartment of Computer Science, George Mason UniversityVerified email at cs.gmu.edu
Mauro CastelliFull Professor at NOVA IMS, Universidade Nova de LisboaVerified email at novaims.unl.pt
Una-May O'ReillyMIT, CSAIL, Any Scale Learning for All (ALFA) GroupVerified email at csail.mit.edu
Marek WydmuchPoznan University of TechnologyVerified email at cs.put.poznan.pl
Michał KempkaPoznan University of TechnologyVerified email at cs.put.poznan.pl
Anna przekoracka-KrawczykVerified email at amu.edu.pl
Pranav ShyamGoogle DeepMindVerified email at google.com
Gabriel KronbergerUniversity of Applied Sciences Upper AustriaVerified email at fh-hagenberg.at
Faustino GomezCEO NNAISENSE SA. Former Senior Researcher, IDSIA, SwitzerlandVerified email at idsia.ch
Leonardo VanneschiNOVA IMS, Universidade Nova de LisboaVerified email at isegi.unl.pt
Robin HarperSydney UniversityVerified email at sydney.edu.au
Brian W. GoldmanGoogleVerified email at google.com

Wojciech Jaśkowski

Snowflake

Verified email at snowflake.com - Homepage

Reinforcement Learning NLP Deep Learning Artificial Intelligence Evolutionary Computation


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Vizdoom: A doom-based ai research platform for visual reinforcement learning M Kempka, M Wydmuch, G Runc, J Toczek, W Jaśkowski 2016 IEEE conference on computational intelligence and games (CIG), 1-8, 2016	887	2016
Genetic programming needs better benchmarks J McDermott, DR White, S Luke, L Manzoni, M Castelli, L Vanneschi, ... Proceedings of the 14th annual conference on Genetic and evolutionary …, 2012	323	2012
Better GP benchmarks: community survey results and proposals DR White, J McDermott, M Castelli, L Manzoni, BW Goldman, ... Genetic Programming and Evolvable Machines 14, 3-29, 2013	277	2013
Model-based Active Exploration P Shyam, W Jaśkowski, F Gomez arXiv preprint arXiv:1810.12162, 2018	234	2018
ViZDoom Competitions: Playing Doom From Pixels M Wydmuch, M Kempka, W Jaśkowski IEEE Transactions on Games 11 (3), 248-259, 2018	165	2018
Training agents using upside-down reinforcement learning RK Srivastava, P Shyam, F Mutz, W Jaśkowski, J Schmidhuber arXiv preprint arXiv:1912.02877, 2019	132	2019
Temporal difference learning of n-tuple networks for the game 2048 M Szubert, W Jaśkowski 2014 IEEE Conference on Computational Intelligence and Games, 1-8, 2014	67	2014
Artificial intelligence for prosthetics: Challenge solutions Ł Kidziński, C Ong, SP Mohanty, J Hicks, S Carroll, B Zhou, H Zeng, ... The NeurIPS'18 Competition: From Machine Learning to Intelligent …, 2020	53	2020
The influence of motor imagery on the learning of a fine hand motor skill J Sobierajewicz, A Przekoracka-Krawczyk, W Jaśkowski, WB Verwey, ... Experimental brain research 235, 305-320, 2017	50	2017
Mastering 2048 with delayed temporal coherence learning, multistage weight promotion, redundant encoding, and carousel shaping W Jaśkowski IEEE Transactions on Games 10 (1), 3-14, 2017	44	2017
Learning to Play Othello with Deep Neural Networks P Liskowski, W Jaśkowski, K Krawiec IEEE Transactions on Games 10 (4), 354-364, 2018	40	2018
How to learn a useful critic? model-based action-gradient-estimator policy optimization P D'Oro, W Jaśkowski Advances in Neural Information Processing Systems 33, 313-324, 2020	33	2020
Coevolutionary temporal difference learning for Othello M Szubert, W Jaskowski, K Krawiec Computational Intelligence and Games, 2009. CIG 2009. IEEE Symposium on, 104-111, 2009	33	2009
Heterogeneous team deep Q-learning in low-dimensional multi-agent environments M Kurek, W Jaśkowski 2016 IEEE Conference on Computational Intelligence and Games (CIG), 1-8, 2016	32	2016
On scalability, generalization, and hybridization of coevolutionary learning: a case study for othello M Szubert, W Jaśkowski, K Krawiec IEEE Transactions on Computational Intelligence and AI in Games 5 (3), 214-226, 2013	28	2013
Formal analysis, hardness, and algorithms for extracting internal structure of test-based problems W Jaśkowski, K Krawiec Evolutionary computation 19 (4), 639-671, 2011	25	2011
Do musicians learn a fine sequential hand motor skill differently than non-musicians? J Sobierajewicz, R Naskręcki, W Jaśkowski, RHJ Van der Lubbe Plos one 13 (11), e0207449, 2018	24	2018
Winning ant wars: Evolving a human-competitive game strategy using fitnessless selection W Jaśkowski, K Krawiec, B Wieloch Genetic Programming, 13-24, 2008	24	2008
Reinforcement learning to run… fast W Jaśkowski, OR Lykkebø, NE Toklu, F Trifterer, Z Buk, J Koutník, ... The NIPS'17 Competition: Building Intelligent Systems, 155-167, 2018	23	2018
To what extent can motor imagery replace motor execution while learning a fine motor skill? J Sobierajewicz, S Szarkiewicz, A Przekoracka-Krawczyk, W Jaśkowski, ... Advances in Cognitive Psychology 12 (4), 179, 2016	22	2016

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