Hybrid Learning and Reasoning

Seminar an der Universität des Saarlandes, Fachrichtung Informatik,  LSF 140201

Seminar schedule:

Date

Presentation

Location

9.11.2022

10:15 - 12am

Welcome

Organization, Introduction to Topics, and Assignments

DFKI, R “Leibniz”

16.11.2022

10:15 - 12am

cancelled

 

23.11.2022

10:15 - 12am

Hybrid AI Systems: Design Patterns and Classification
Dr. Andre Meyer-Vitali

online

30.11.2022

10:15 - 12am

cancelled

online

7.12.2022

10:15 - 12am

cancelled

online

14.12.2022

10:15 - 12am

De Giacomo, G., et al. (2019): Foundations for Restraining Bolts: Reinforcement Learning with LTLf/LDLf Restraining Specifications.

Presenter: Bilal E.A. Siddique

online

21.12.2022

10:15 - 12am

Cohen, W.W., et al. (2020):  Scalable Neural Methods for Reasoning with a Symbolic Knowledge Base.

Presenter: Eyad Alshami

online

4.1.2023

10:15 - 12am

Almasan, P., et al. (2019): Deep Reinforcement Learning Meets Graph Neural Networks: Exploring a Routing Optimization Use Case.

Presenter: Baoshuang Zhang

online

11.1.2023

10:15 - 12am

Ferber, P. et al. (2022): Neural Network Heuristic Functions for Classical Planning: Bootstrapping and Comparison to Other Methods.

Presenter: Donald L.G. Pfaffmann

online

18.1.2023

10:15 - 12am

Gehring, C. et al. (2022): Reinforcement Learning for Classical Planning: Viewing Heuristics as Dense Reward Generators.

Presenter: Baraah A.M. Sidahmed

online

25.1.2023

10:15 - 12am

Pusse, F. & Klusch, M. (2019): Hybrid Online POMDP Planning and Deep Reinforcement Learning for Safer Self-Driving Cars.

Presenter: Jonathan Nöther

online

1.2.2023

10:15 - 12am

Yang, Y., et al. (2022): LOGICDEF: An Interpretable Defense Framework Against Adversarial Examples via Inductive Scene Graph.

Presenter: Sevara Akhbaeva

online

8.2.2023

10:15 - 12am

Closing

Summary, Discussion, Feedback

DFKI, R “Leibniz”

The schedule is preliminary; please check it frequently for changes!

If a seminar session location is announced as ONLINE, then the Zoom meeting  room address will be provided  on time per E-Mail to registered participants. Other interested but not registered parties who like to attend the seminar will be informed about  dial-in info on request.