Persons
prof. Dr. Michal Pěchouček, MSc.
head_person_supervisor
Ing. David Fiedler
Department of Computer Science
Large-scale Mobility-on-demand: Simulation Studies and Optimization
Archive of PhD students
doc. Mgr. Viliam Lisý, MSc., Ph.D.
Monte Carlo Tree Search in Imperfect-Information Games
Michal Čáp, MSc., Ph.D.
Centralized and Decentralized Algorithms for Multi-Robot Trajectory Coordination
doc. Ing. Michal Jakob, Ph.D.
Multi-agent service selection in competitive resource-constrained environments
Ing. Antonín Komenda, Ph.D.
Domain-Independent Multiagent Plan Repair
doc. Ing. David Šišlák, Ph.D.
Automomous Collision Avoidance in Air-Traffic Domain
Ing. David Kadleček, Ph.D.
Motivation driven reinforcement learning and automatic creation of behavior hierarchies
Ing. Karel Horák, Ph.D.
Scalable Algorithms for Solving Stochastic Games with Limited Partial Observability
doc. Mgr. Branislav Bošanský, Ph.D.
Iterative Algorithms for Solving Finite Sequential Zero-Sum Games
Ing. Milan Rollo, Ph.D.
Communication Resource Management in Tactical Networks
Dissertation topics
Algorithms for Multi-player Games in Extended Form
- Branch of study: Computer Science – Department of Computer Science
- Department: Department of Computer Science
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Description:
Analyze the state-of-of-the-art in the field extended form game theory. Propose formal models for modeling games with high number of players’ strategies. Design robust and scalable algorithms for finding equilibrium. http://cs.felk.cvut.cz/en/people/pechouce
Algorithms for Multi-player Games in Extended Form
- Branch of study: Computer Science – Department of Computer Science
- Department: Department of Computer Science
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Description:
Analyze the state-of-of-the-art in the field extended form game theory. Propose formal models for modeling games with high number of players’ strategies. Design robust and scalable algorithms for finding equilibrium. http://cs.felk.cvut.cz/en/people/pechouce
Application of Security Games for Strategic Inspections
- Branch of study: Computer Science – Department of Computer Science
- Department: Department of Computer Science
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Description:
Analyze the state-of-of-the-art in the field of game theory, especially in the field of security games. Design new methods for strategic randomization of inspection problems. http://cs.felk.cvut.cz/en/people/pechouce
Application of Security Games for Strategic Inspections
- Branch of study: Computer Science – Department of Computer Science
- Department: Department of Computer Science
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Description:
Analyze the state-of-of-the-art in the field of game theory, especially in the field of security games. Design new methods for strategic randomization of inspection problems. http://cs.felk.cvut.cz/en/people/pechouce
Collision Avoidance and Trajectory Planning for Unmanned Aerial Systems
- Branch of study: Computer Science – Department of Computer Science
- Department: Department of Computer Science
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Description:
Analyze the state-of-of-the-art in the field of UAS collision avoidance and trajectory planning. Design methods for providing collision free traffic of high density operation of UAS systems. Efficiency of resulting methods validate on multiagent simulation experiments. http://cs.felk.cvut.cz/en/people/pechouce
Collision Avoidance and Trajectory Planning for Unmanned Aerial Systems
- Branch of study: Computer Science – Department of Computer Science
- Department: Department of Computer Science
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Description:
Analyze the state-of-of-the-art in the field of UAS collision avoidance and trajectory planning. Design methods for providing collision free traffic of high density operation of UAS systems. Efficiency of resulting methods validate on multiagent simulation experiments. http://cs.felk.cvut.cz/en/people/pechouce
Learning Strategies in Complex Games
- Branch of study: Computer Science – Department of Computer Science
- Department: Department of Computer Science
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Description:
Analyze the state-of-of-the-art in the field of game theory and machine learning. Design methods that can learn opponent strategies by analyzing her observation by means of selected machine learning methods. http://cs.felk.cvut.cz/en/people/pechouce
Learning Strategies in Complex Games
- Branch of study: Computer Science – Department of Computer Science
- Department: Department of Computer Science
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Description:
Analyze the state-of-of-the-art in the field of game theory and machine learning. Design methods that can learn opponent strategies by analyzing her observation by means of selected machine learning methods. http://cs.felk.cvut.cz/en/people/pechouce
Mixed-reality Multiagent Simulations
- Branch of study: Computer Science – Department of Computer Science
- Department: Department of Computer Science
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Description:
Analyze the state-of-of-the-art in the field of multiagent simulation. Propose methods for modeling high number of sophisticated individual rational agents in complex environment so that part of the simulation is instantiated with physical running systems (such as robots or humans) http://cs.felk.cvut.cz/en/people/pechouce
Mixed-reality Multiagent Simulations
- Branch of study: Computer Science – Department of Computer Science
- Department: Department of Computer Science
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Description:
Analyze the state-of-of-the-art in the field of multiagent simulation. Propose methods for modeling high number of sophisticated individual rational agents in complex environment so that part of the simulation is instantiated with physical running systems (such as robots or humans) http://cs.felk.cvut.cz/en/people/pechouce
Multiagent Planning in Complex Adversarial Environment
- Branch of study: Computer Science – Department of Computer Science
- Department: Department of Computer Science
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Description:
Analyze the state-of-of-the-art in the field of domain independent multiaagent planning and propose new methods how to extend and specialize the existing planners so that they will provide robust performance in the environments with adversarial behavior. http://cs.felk.cvut.cz/en/people/pechouce
Multiagent Planning in Complex Adversarial Environment
- Branch of study: Computer Science – Department of Computer Science
- Department: Department of Computer Science
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Description:
Analyze the state-of-of-the-art in the field of domain independent multiagent planning and propose new methods how to extend and specialize the existing planners so that they will provide robust performance in the environments with adversarial behavior. http://cs.felk.cvut.cz/en/people/pechouce
