Oliver Richter

According to our database, Oliver Richter authored at least 18 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Automating Rigid Origami Design.

Jeremia Geiger, Karolis Martinkus, Oliver Richter, Roger Wattenhofer

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

Architectural Considerations for Deep Reinforcement Learning.

Oliver Richter

PhD thesis, 2022

Improving Brain Decoding Methods and Evaluation.

Damian Pascual, Béni Egressy, Nicolas Affolter, Yiming Cai, Oliver Richter, Roger Wattenhofer

Proceedings of the IEEE International Conference on Acoustics, 2022

Word2Course: Creating Interactive Courses from as Little as a Keyword.

Sébastien Foucher, Damián Pascual, Oliver Richter, Roger Wattenhofer

Proceedings of the 14th International Conference on Computer Supported Education, 2022

2021

Unsupervised Task Clustering for Multi-task Reinforcement Learning.

Johannes Ackermann, Oliver Richter, Roger Wattenhofer

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Learning Algorithms with Self-Play: A New Approach to the Distributed Directory Problem.

Pankaj Khanchandani, Oliver Richter, Lukas Rusch, Roger Wattenhofer

Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

WikiFlash: Generating Flashcards from Wikipedia Articles.

Yuang Cheng, Yue Ding, Sébastien Foucher, Damián Pascual, Oliver Richter, Martin Volk, Roger Wattenhofer

Proceedings of the Neural Information Processing - 28th International Conference, 2021

2020

Normalized Attention Without Probability Cage.

Oliver Richter, Roger Wattenhofer

CoRR, 2020

On Identifiability in Transformers.

Gino Brunner, Yang Liu, Damian Pascual, Oliver Richter, Massimiliano Ciaramita, Roger Wattenhofer

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

On the Validity of Self-Attention as Explanation in Transformer Models.

Gino Brunner, Yang Liu, Damián Pascual, Oliver Richter, Roger Wattenhofer

CoRR, 2019

Quantile Regression Deep Reinforcement Learning.

Oliver Richter, Roger Wattenhofer

CoRR, 2019

Neural Symbolic Music Genre Transfer Insights.

Gino Brunner, Mazda Moayeri, Oliver Richter, Roger Wattenhofer, Chi Zhang

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Attentive Multi-task Deep Reinforcement Learning.

Timo Bräm, Gino Brunner, Oliver Richter, Roger Wattenhofer

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Monaural Music Source Separation using a ResNet Latent Separator Network.

Gino Brunner, Nawel Naas, Sveinn Palsson, Oliver Richter, Roger Wattenhofer

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

2018

TreeConnect: A Sparse Alternative to Fully Connected Layers.

Oliver Richter, Roger Wattenhofer

Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

Using State Predictions for Value Regularization in Curiosity Driven Deep Reinforcement Learning.

Gino Brunner, Manuel Fritsche, Oliver Richter, Roger Wattenhofer

Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

Teaching a Machine to Read Maps With Deep Reinforcement Learning.

Gino Brunner, Oliver Richter, Yuyi Wang, Roger Wattenhofer

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Local Checkability in Dynamic Networks.

Klaus-Tycho Foerster, Oliver Richter, Jochen Seidel, Roger Wattenhofer

Proceedings of the 18th International Conference on Distributed Computing and Networking, 2017