Three Approaches to Solve the Petrobras Challenge: Exploiting Planning Techniques for Solving Real-Life Logistics Problems. - Daniel Toropila; Filip Dvorák; Otakar Trunda; Martin Hanes; Roman Barták (ICTAI, 2012)

Using Monte Carlo Tree Search to Solve Planning Problems in Transportation Domains. - Otakar Trunda; Roman Barták (MICAI (2), 2013)

Determining a Proper Initial Configuration of Red-Black Planning by Machine Learning. - Otakar Trunda; Roman Barták (MetaSel@ECAI, 2014)

Fitness Landscape Analysis of Hyper-Heuristic Transforms for the Vertex Cover Problem. - Otakar Trunda; Robert Brunetto (ITAT, 2016)

Deep Heuristic-learning in the Rubik's Cube Domain: An Experimental Evaluation. - Robert Brunetto; Otakar Trunda (ITAT, 2017)

Deep Learning of Heuristics for Domain-independent Planning. - Otakar Trunda; Roman Barták (ICAART (2), 2020)

Heuristic Learning in Domain-Independent Planning: Theoretical Analysis and Experimental Evaluation. - Otakar Trunda; Roman Barták (ICAART (Revised Selected Papers), 2020)