Cooperative Epistemic Multi-Agent Planning for Implicit Coordination. - Thorsten Engesser; Thomas Bolander; Robert Mattmüller; Bernhard Nebel (M4M@ICLA, 2017)

Better Eager Than Lazy? How Agent Types Impact the Successfulness of Implicit Coordination. - Thomas Bolander; Thorsten Engesser; Robert Mattmüller; Bernhard Nebel (KR, 2018)

Implicitly Coordinated Multi-Agent Path Finding under Destination Uncertainty: Success Guarantees and Computational Complexity (Extended Abstract). - Bernhard Nebel; Thomas Bolander; Thorsten Engesser; Robert Mattmüller (IJCAI, 2019)

The Dynamic Logic of Policies and Contingent Planning. - Thomas Bolander; Thorsten Engesser; Andreas Herzig; Robert Mattmüller; Bernhard Nebel (JELIA, 2019)

Epistemic Multi-agent Planning Using Monte-Carlo Tree Search. - Daniel Reifsteck; Thorsten Engesser; Robert Mattmüller; Bernhard Nebel (KI, 2019)

Implicitly Coordinated Multi-Agent Path Finding under Destination Uncertainty: Success Guarantees and Computational Complexity. - Bernhard Nebel; Thomas Bolander; Thorsten Engesser; Robert Mattmüller (J. Artif. Intell. Res., 2019)

Implicit Coordination Using FOND Planning. - Thorsten Engesser; Tim Miller 001 (AAAI, 2020)

Token-based Execution Semantics for Multi-Agent Epistemic Planning. - Thorsten Engesser; Robert Mattmüller; Bernhard Nebel; Felicitas Ritter (KR, 2020)

Game description language and dynamic epistemic logic compared. - Thorsten Engesser; Robert Mattmüller; Bernhard Nebel; Michael Thielscher (Artif. Intell., 2021)

Epistemic planning towards implicit coordination of multiple agents with distributed knowledge. - Thorsten Engesser (2021)

Towards Epistemic-Doxastic Planning with Observation and Revision. - Thorsten Engesser; Andreas Herzig; Elise Perrotin (AAAI, 2024)

Symbolic Computation of Sequential Equilibria. - Moritz Graf; Thorsten Engesser; Bernhard Nebel (AAMAS, 2024)

A Symbolic Sequential Equilibria Solver for Game Theory Explorer. - Moritz Graf; Thorsten Engesser; Bernhard Nebel (AAMAS, 2024)

A Simple Integration of Epistemic Logic and Reinforcement Learning. - Thorsten Engesser; Thibaut Le Marre; Emiliano Lorini; François Schwarzentruber; Bruno Zanuttini (AAMAS, 2025)