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1. TD learning in Monte Carlo tree search
ALEKSANDRA DELEVA, 2015, master's thesis

Keywords: Monte Carlo tree search, Monte Carlo, tree search, upper confidence bounds for trees, temporal difference learning, reinforcement learning, artificial Intelligence
Full text (file, 6,73 MB)

2. Multi-objective adjustment of remaining useful life predictions based on reinforcement learning
Dominik Kozjek, Andreja Malus, Rok Vrabič, 2020, published scientific conference contribution

Keywords: predictive maintainance, remaining useful life, reinforcement learning
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3. Use of relaxed stochastic controls in reinforcement learning
Jan Rems, 2021, master's thesis

Keywords: reinforcement learning, exploration, stochastic control theory, relaxed controls, dynamical programming, optimal investment strategy
Full text (file, 794,72 KB)

4. Reinforcement-learning-based route generation for heavy-traffic autonomous mobile robot systems
Dominik Kozjek, Andreja Malus, Rok Vrabič, 2021, original scientific article

Keywords: intralogistics, autonomous mobile robots, multi-robot cooperation, reinforcement learning, route planning
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5. Reinforcement learning in Tarock
Domen Požrl, 2021, master's thesis

Keywords: reinforcement learning, Tarock, cards, game playing
Full text (file, 6,96 MB)

6. An architecture for sim-to-real and real-to-sim experimentation in robotic systems
Rok Vrabič, Gašper Škulj, Andreja Malus, Dominik Kozjek, Luka Selak, Drago Bračun, Primož Podržaj, 2021, published scientific conference contribution

Keywords: robotics, simulation, machine learning, reinforcement learning, digital twin
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7. Using machine learning to train a shepherd dog
Tim Štromajer, 2022, undergraduate thesis

Keywords: collective behaviour, shepherding, agent models, artificial intelligence, reinforcement learning, simulation
Full text (file, 1,92 MB)

8. Deep reinforcement learning for map-less goal-driven robot navigation
Matej Dobrevski, Danijel Skočaj, 2021, original scientific article

Keywords: mobile robotics, reinforcement learning, navigation, deep learning
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9. Deep reinforcement learning for target-driven robot navigation
Matej Dobrevski, 2024, doctoral dissertation

Keywords: deep learning, reinforcement learning, mobile robotics, navigation, obstacle avoidance.
Full text (file, 23,71 MB)

10. Reinforcement learning-based anatomical maps for pancreas subregion and duct segmentation
Sepideh Amiri, Tomaž Vrtovec, Tamerlan Mustafaev, Christopher L. Deufel, Henrik S. Thomsen, Martin Hylleholt Sillesen, Erik Gudmann Steuble Brandt, Michael Brun Andersen, Christoph Felix Müller, Bulat Ibragimov, 2024, original scientific article

Keywords: medical image analysis, landmark detection, image segmentation, pancreas region, deep learning, reinforcement learning
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