Pawel Liskowski

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 17

Top Topics

Genetic Programming

Fitness Function

Matrix Factorization

Top Venues

GECCO (Companion)

EvoApplications

Publications

Nihat Engin Toklu, Timothy Atkinson, Vojtech Micka, Pawel Liskowski, Rupesh Kumar Srivastava
EvoTorch: Scalable Evolutionary Computation in Python. CoRR (2023)
Nihat Engin Toklu, Pawel Liskowski, Rupesh Kumar Srivastava
ClipUp: A Simple and Powerful Optimizer for Distribution-Based Policy Evolution. PPSN (2) (2020)
Pawel Liskowski, Krzysztof Krawiec, Nihat Engin Toklu, Jerry Swan
Program synthesis as latent continuous optimization: evolutionary search in neural embeddings. GECCO (2020)
Pawel Liskowski, Krzysztof Krawiec, Nihat Engin Toklu
Neuromemetic Evolutionary Optimization. PPSN (1) (2020)
Nihat Engin Toklu, Pawel Liskowski, Rupesh Kumar Srivastava
ClipUp: A Simple and Powerful Optimizer for Distribution-based Policy Evolution. CoRR (2020)
Pawel Liskowski, Bartosz Wieloch, Krzysztof Krawiec
Neural estimation of interaction outcomes. GECCO (2018)
Pawel Liskowski, Wojciech Jaskowski, Krzysztof Krawiec
Learning to Play Othello With Deep Neural Networks. IEEE Trans. Games 10 (4) (2018)
Pawel Liskowski, Iwo Bladek, Krzysztof Krawiec
Neuro-guided genetic programming: prioritizing evolutionary search with neural networks. GECCO (2018)
Pawel Liskowski, Krzysztof Krawiec
Discovery of search objectives in continuous domains. GECCO (2017)
Pawel Liskowski, Wojciech Jaskowski
Accelerating coevolution with adaptive matrix factorization. GECCO (2017)
Pawel Liskowski, Wojciech Jaskowski, Krzysztof Krawiec
Learning to Play Othello with Deep Neural Networks. CoRR (2017)
Pawel Liskowski, Krzysztof Krawiec
Online Discovery of Search Objectives for Test-Based Problems. Evol. Comput. 25 (3) (2017)
Wojciech Jaskowski, Pawel Liskowski, Marcin Grzegorz Szubert, Krzysztof Krawiec
The performance profile: A multi-criteria performance evaluation method for test-based problems. Int. J. Appl. Math. Comput. Sci. 26 (1) (2016)
Pawel Liskowski, Krzysztof Krawiec
Surrogate Fitness via Factorization of Interaction Matrix. EuroGP (2016)
Pawel Liskowski, Krzysztof Krawiec
Online Discovery of Search Objectives for Test-based Problems. GECCO (Companion) (2016)
Pawel Liskowski, Krzysztof Krawiec
Non-negative Matrix Factorization for Unsupervised Derivation of Search Objectives in Genetic Programming. GECCO (2016)
Pawel Liskowski, Krzysztof Krawiec
Segmenting Retinal Blood Vessels With Deep Neural Networks. IEEE Trans. Medical Imaging 35 (11) (2016)
Wojciech Jaskowski, Marcin Grzegorz Szubert, Pawel Liskowski, Krzysztof Krawiec
High-Dimensional Function Approximation for Knowledge-Free Reinforcement Learning: a Case Study in SZ-Tetris. GECCO (2015)
Pawel Liskowski, Krzysztof Krawiec, Thomas Helmuth, Lee Spector
Comparison of Semantic-aware Selection Methods in Genetic Programming. GECCO (Companion) (2015)
Marcin Grzegorz Szubert, Wojciech Jaskowski, Pawel Liskowski, Krzysztof Krawiec
The Role of Behavioral Diversity and Difficulty of Opponents in Coevolving Game-Playing Agents. EvoApplications (2015)
Krzysztof Krawiec, Pawel Liskowski
Automatic Derivation of Search Objectives for Test-Based Genetic Programming. EuroGP (2015)
Pawel Liskowski, Krzysztof Krawiec
Discovery of Implicit Objectives by Compression of Interaction Matrix in Test-Based Problems. PPSN (2014)
Wojciech Jaskowski, Marcin Grzegorz Szubert, Pawel Liskowski
Multi-Criteria Comparison of Coevolution and Temporal Difference Learning on Othello. EvoApplications (2014)
Pawel Liskowski
Quantitative analysis of the hall of fame coevolutionary archives. GECCO (Companion) (2013)
Marcin Grzegorz Szubert, Wojciech Jaskowski, Pawel Liskowski, Krzysztof Krawiec
Shaping fitness function for evolutionary learning of game strategies. GECCO (2013)
Wojciech Jaskowski, Pawel Liskowski, Marcin Grzegorz Szubert, Krzysztof Krawiec
Improving coevolution by random sampling. GECCO (2013)