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Wojciech Jaskowski
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2020 – today
- 2024
- [i10]Lukasz Borchmann, Michal Pietruszka, Wojciech Jaskowski, Dawid Jurkiewicz, Piotr Halama, Pawel Józiak, Lukasz Garncarek, Pawel Liskowski, Karolina Szyndler, Andrzej Gretkowski, Julita Oltusek, Gabriela Nowakowska, Artur Zawlocki, Lukasz Duhr, Pawel Dyda, Michal Turski:
Arctic-TILT. Business Document Understanding at Sub-Billion Scale. CoRR abs/2408.04632 (2024) - 2020
- [c24]Pierluca D'Oro, Wojciech Jaskowski:
How to Learn a Useful Critic? Model-based Action-Gradient-Estimator Policy Optimization. NeurIPS 2020 - [i9]Pierluca D'Oro, Wojciech Jaskowski:
How to Learn a Useful Critic? Model-based Action-Gradient-Estimator Policy Optimization. CoRR abs/2004.14309 (2020)
2010 – 2019
- 2019
- [j15]Marek Wydmuch
, Michal Kempka, Wojciech Jaskowski
ViZDoom Competitions: Playing Doom From Pixels. IEEE Trans. Games 11(3): 248-259 (2019) - [c23]Pranav Shyam, Wojciech Jaskowski, Faustino Gomez:
Model-Based Active Exploration. ICML 2019: 5779-5788 - [i8]Lukasz Kidzinski, Carmichael F. Ong, Sharada Prasanna Mohanty, Jennifer L. Hicks, Sean F. Carroll, Bo Zhou, Hong-cheng Zeng, Fan Wang, Rongzhong Lian, Hao Tian, Wojciech Jaskowski, Garrett Andersen, Odd Rune Lykkebø, Nihat Engin Toklu, Pranav Shyam, Rupesh Kumar Srivastava, Sergey Kolesnikov, Oleksii Hrinchuk, Anton Pechenko, Mattias Ljungström, Zhen Wang, Xu Hu, Zehong Hu, Minghui Qiu, Jun Huang, Aleksei Shpilman, Ivan Sosin, Oleg Svidchenko, Aleksandra Malysheva, Daniel Kudenko, Lance Rane, Aditya Bhatt, Zhengfei Wang, Penghui Qi, Zeyang Yu, Peng Peng, Quan Yuan, Wenxin Li, Yunsheng Tian, Ruihan Yang, Pingchuan Ma, Shauharda Khadka, Somdeb Majumdar, Zach Dwiel, Yinyin Liu, Evren Tumer, Jeremy D. Watson, Marcel Salathé, Sergey Levine, Scott L. Delp:
Artificial Intelligence for Prosthetics - challenge solutions. CoRR abs/1902.02441 (2019) - [i7]Rupesh Kumar Srivastava, Pranav Shyam, Filipe Mutz, Wojciech Jaskowski, Jürgen Schmidhuber:
Training Agents using Upside-Down Reinforcement Learning. CoRR abs/1912.02877 (2019) - 2018
- [j14]Wojciech Jaskowski
Mastering 2048 With Delayed Temporal Coherence Learning, Multistage Weight Promotion, Redundant Encoding, and Carousel Shaping. IEEE Trans. Games 10(1): 3-14 (2018) - [j13]Pawel Liskowski
Learning to Play Othello With Deep Neural Networks. IEEE Trans. Games 10(4): 354-364 (2018) - [i6]Marek Wydmuch, Michal Kempka, Wojciech Jaskowski:
ViZDoom Competitions: Playing Doom from Pixels. CoRR abs/1809.03470 (2018) - [i5]Pranav Shyam, Wojciech Jaskowski, Faustino Gomez:
Model-Based Active Exploration. CoRR abs/1810.12162 (2018) - 2017
- [c22]Pawel Liskowski, Wojciech Jaskowski
Accelerating coevolution with adaptive matrix factorization. GECCO 2017: 457-464 - [i4]Pawel Liskowski, Wojciech Jaskowski, Krzysztof Krawiec:
Learning to Play Othello with Deep Neural Networks. CoRR abs/1711.06583 (2017) - 2016
- [j12]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): 215 (2016) - [j11]Wojciech Jaskowski
A hybrid MIP-based large neighborhood search heuristic for solving the machine reassignment problem. Ann. Oper. Res. 242(1): 33-62 (2016) - [j10]Wojciech Jaskowski, Marcin Grzegorz Szubert:
Coevolutionary CMA-ES for Knowledge-Free Learning of Game Position Evaluation. IEEE Trans. Comput. Intell. AI Games 8(4): 389-401 (2016) - [c21]Michal Kempka, Marek Wydmuch, Grzegorz Runc, Jakub Toczek, Wojciech Jaskowski:
ViZDoom: A Doom-based AI research platform for visual reinforcement learning. CIG 2016: 1-8 - [c20]Mateusz Kurek, Wojciech Jaskowski:
Heterogeneous team deep q-learning in low-dimensional multi-agent environments. CIG 2016: 1-8 - [i3]Wojciech Jaskowski:
Mastering $2048$ with Delayed Temporal Coherence Learning, Multi-State Weight Promotion, Redundant Encoding and Carousel Shaping. CoRR abs/1604.05085 (2016) - [i2]Michal Kempka, Marek Wydmuch, Grzegorz Runc, Jakub Toczek, Wojciech Jaskowski:
ViZDoom: A Doom-based AI Research Platform for Visual Reinforcement Learning. CoRR abs/1605.02097 (2016) - 2015
- [c19]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: 394-405 - [c18]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: 567-573 - 2014
- [j9]Wojciech Jaskowski
Cross-task code reuse in genetic programming applied to visual learning. Int. J. Appl. Math. Comput. Sci. 24(1): 183-197 (2014) - [j8]Wojciech Jaskowski:
Systematic n-Tuple Networks for Othello Position Evaluation. J. Int. Comput. Games Assoc. 37(2): 85-96 (2014) - [c17]Marcin Grzegorz Szubert, Wojciech Jaskowski
Temporal difference learning of N-tuple networks for the game 2048. CIG 2014: 1-8 - [c16]Wojciech Jaskowski
Multi-Criteria Comparison of Coevolution and Temporal Difference Learning on Othello. EvoApplications 2014: 301-312 - [i1]Wojciech Jaskowski:
Systematic N-tuple Networks for Position Evaluation: Exceeding 90% in the Othello League. CoRR abs/1406.1509 (2014) - 2013
- [j7]David Robert White, James McDermott, Mauro Castelli
Better GP benchmarks: community survey results and proposals. Genet. Program. Evolvable Mach. 14(1): 3-29 (2013) - [j6]Marcin Grzegorz Szubert, Wojciech Jaskowski
On Scalability, Generalization, and Hybridization of Coevolutionary Learning: A Case Study for Othello. IEEE Trans. Comput. Intell. AI Games 5(3): 214-226 (2013) - [c15]Wojciech Jaskowski
Improving coevolution by random sampling. GECCO 2013: 1141-1148 - [c14]Marcin Grzegorz Szubert, Wojciech Jaskowski
Shaping fitness function for evolutionary learning of game strategies. GECCO 2013: 1149-1156 - 2012
- [c13]James McDermott, David Robert White, Sean Luke, Luca Manzoni
Genetic programming needs better benchmarks. GECCO 2012: 791-798 - 2011
- [j5]Krzysztof Krawiec
Evolving small-board Go players using coevolutionary temporal difference learning with archives. Int. J. Appl. Math. Comput. Sci. 21(4): 717-731 (2011) - [j4]Wojciech Jaskowski
Formal Analysis, Hardness, and Algorithms for Extracting Internal Structure of Test-Based Problems. Evol. Comput. 19(4): 639-671 (2011) - [c12]Wojciech Jaskowski
How many dimensions in co-optimization. GECCO (Companion) 2011: 829-830 - 2010
- [c11]Wojciech Jaskowski
Coordinate System Archive for coevolution. IEEE Congress on Evolutionary Computation 2010: 1-10
2000 – 2009
- 2009
- [c10]Marcin Grzegorz Szubert, Wojciech Jaskowski
Coevolutionary Temporal Difference Learning for Othello. CIG 2009: 104-111 - [c9]Wojciech Jaskowski
Formal analysis and algorithms for extracting coordinate systems of games. CIG 2009: 201-208 - [c8]Pawel Lichocki, Krzysztof Krawiec
Evolving Teams of Cooperating Agents for Real-Time Strategy Game. EvoWorkshops 2009: 333-342 - 2008
- [j3]Wojciech Jaskowski
The Numerical Measure of Symmetry for 3D Stick Creatures. Artif. Life 14(4): 425-443 (2008) - [j2]Wojciech Jaskowski
Multitask Visual Learning Using Genetic Programming. Evol. Comput. 16(4): 439-459 (2008) - [j1]Wojciech Jaskowski
Evolving strategy for a probabilistic game of imperfect information using genetic programming. Genet. Program. Evolvable Mach. 9(4): 281-294 (2008) - [c7]Wojciech Jaskowski
Winning Ant Wars: Evolving a Human-Competitive Game Strategy Using Fitnessless Selection. EuroGP 2008: 13-24 - [c6]Wojciech Jaskowski
Fitnessless coevolution. GECCO 2008: 355-362 - [c5]Wojciech Jaskowski, Wojciech Kotlowski:
On selecting the best individual in noisy environments. GECCO 2008: 961-968 - [c4]Wojciech Jaskowski, Krzysztof Krawiec, Bartosz Wieloch:
Multi-task code reuse in genetic programming. GECCO (Companion) 2008: 2159-2164 - 2007
- [c3]Wojciech Jaskowski, Krzysztof Krawiec
Learning and Recognition of Hand-Drawn Shapes Using Generative Genetic Programming. EvoWorkshops 2007: 281-290 - [c2]Wojciech Jaskowski
Genetic programming for cross-task knowledge sharing. GECCO 2007: 1620-1627 - [c1]Wojciech Jaskowski
Knowledge reuse in genetic programming applied to visual learning. GECCO 2007: 1790-1797
Coauthor Index
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