Publications
- Heuristic Learning in Domain-Independent Planning: Theoretical Analysis and Experimental Evaluation2021 | Faculty of Mathematics and Physics
- Deep Learning of Heuristics for Domain-independent Planning2020 | Faculty of Mathematics and Physics
- Three Approaches to Solve the Petrobras Challenge: Exploiting Planning Techniques for Solving Real-Life Logistics Problems2012 | Faculty of Mathematics and Physics
- Deep Heuristic-learning in the Rubik's Cube Domain: An Experimental Evaluation2017 | Faculty of Mathematics and Physics
- Fitness landscape analysis of hyper-heuristic transforms for the vertex cover problem2016 | Faculty of Mathematics and Physics
- Automatic creation of pattern databases in planning2014 | Faculty of Mathematics and Physics
- Determining a Proper Initial Configuration of Red-Black Planning by Machine Learning2014 | Faculty of Mathematics and Physics
- Using Monte Carlo Tree Search to Solve Planning Problems in Transportation Domains2013 | Faculty of Mathematics and Physics
- Reinforced Encoding for Planning as SATPublication without faculty affiliation
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