activity
20122023
most citedMulti-agent RRT*: Sampling-based Cooperative Pathfinding (Extended Abstract)

6 citations · 18 across the 5 of their papers we have counts for

collaborators

7 papers

math.OC2023★ 6 cited

Large-scale Online Ridesharing: The Effect of Assignment Optimality on System Performance

David Fiedler, Michal Čertický, Javier Alonso-Mora +2

Mobility-on-demand (MoD) systems consist of a fleet of shared vehicles that can be hailed for one-way point-to-point trips. The total distance driven by the vehicles and the fleet…

stat.ML2022

Explaining Classifiers Trained on Raw Hierarchical Multiple-Instance Data

Tomáš Pevný, Viliam Lisý, Branislav Bošanský +2

Learning from raw data input, thus limiting the need for feature engineering, is a component of many successful applications of machine learning methods in various domains. While m…

cs.GT2016

Computing Maxmin Strategies in Extensive-Form Zero-Sum Games with Imperfect Recall

Branislav Bosansky, Jiri Cermak, Karel Horak +1

Extensive-form games with imperfect recall are an important game-theoretic model that allows a compact representation of strategies in dynamic strategic interactions. Practical use…

cs.GT2016

Solution Concepts in A-Loss Recall Games: Existence and Computational Complexity

Jiri Cermak, Branislav Bosansky, Michal Pechoucek

Imperfect recall games represent dynamic interactions where players forget previously known information, such as a history of played actions. The importance of imperfect recall gam…

cs.RO2013★ 6 cited

Multi-agent RRT*: Sampling-based Cooperative Pathfinding (Extended Abstract)

Michal Čáp, Peter Novák, Jiří Vokřínek +1

Cooperative pathfinding is a problem of finding a set of non-conflicting trajectories for a number of mobile agents. Its applications include planning for teams of mobile robots, s…

cs.AI2012★ 6 cited

Asynchronous Decentralized Algorithm for Space-Time Cooperative Pathfinding

Michal Čáp, Peter Novák, Jiří Vokřínek +1

Cooperative pathfinding is a multi-agent path planning problem where a group of vehicles searches for a corresponding set of non-conflicting space-time trajectories. Many of the pr…

cs.AI2012

Decentralized Multi-agent Plan Repair in Dynamic Environments

Antonín Komenda, Peter Novák, Michal Pěchouček

Achieving joint objectives by teams of cooperative planning agents requires significant coordination and communication efforts. For a single-agent system facing a plan failure in a…