Oliver Richter

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 21

Top Topics

Wikipedia Articles

Fully Connected

Reinforcement Learning

Quantile Regression

Top Venues

Publications

Jeremia Geiger, Karolis Martinkus, Oliver Richter, Roger Wattenhofer
Automating Rigid Origami Design. IJCAI (2023)
Damian Pascual, Béni Egressy, Nicolas Affolter, Yiming Cai, Oliver Richter, Roger Wattenhofer
Improving Brain Decoding Methods and Evaluation. ICASSP (2022)
Jeremia Geiger, Karolis Martinkus, Oliver Richter, Roger Wattenhofer
Automating Rigid Origami Design. CoRR (2022)
Sébastien Foucher, Damián Pascual, Oliver Richter, Roger Wattenhofer
Word2Course: Creating Interactive Courses from as Little as a Keyword. CSEDU (1) (2022)
Yuang Cheng, Yue Ding, Sebastien Foucher, Damián Pascual, Oliver Richter, Martin Volk, Roger Wattenhofer
WikiFlash: Generating Flashcards from Wikipedia Articles. ICONIP (4) (2021)
Johannes Ackermann, Oliver Richter, Roger Wattenhofer
Unsupervised Task Clustering for Multi-task Reinforcement Learning. ECML/PKDD (1) (2021)
Pankaj Khanchandani, Oliver Richter, Lukas Rusch, Roger Wattenhofer
Learning Algorithms with Self-Play: A New Approach to the Distributed Directory Problem. ICTAI (2021)
Oliver Richter, Roger Wattenhofer
Normalized Attention Without Probability Cage. CoRR (2020)
Gino Brunner, Yang Liu, Damian Pascual, Oliver Richter, Massimiliano Ciaramita, Roger Wattenhofer
On Identifiability in Transformers. ICLR (2020)
Timo Bräm, Gino Brunner, Oliver Richter, Roger Wattenhofer
Attentive Multi-task Deep Reinforcement Learning. ECML/PKDD (3) (2019)
Gino Brunner, Mazda Moayeri, Oliver Richter, Roger Wattenhofer, Chi Zhang
Neural Symbolic Music Genre Transfer Insights. PKDD/ECML Workshops (2) (2019)
Oliver Richter, Roger Wattenhofer
Quantile Regression Deep Reinforcement Learning. CoRR (2019)
Timo Bräm, Gino Brunner, Oliver Richter, Roger Wattenhofer
Attentive Multi-Task Deep Reinforcement Learning. CoRR (2019)
Gino Brunner, Yang Liu, Damián Pascual, Oliver Richter, Roger Wattenhofer
On the Validity of Self-Attention as Explanation in Transformer Models. CoRR (2019)
Gino Brunner, Nawel Naas, Sveinn Palsson, Oliver Richter, Roger Wattenhofer
Monaural Music Source Separation using a ResNet Latent Separator Network. ICTAI (2019)
Gino Brunner, Manuel Fritsche, Oliver Richter, Roger Wattenhofer
Using State Predictions for Value Regularization in Curiosity Driven Deep Reinforcement Learning. ICTAI (2018)
Oliver Richter, Roger Wattenhofer
TreeConnect: A Sparse Alternative to Fully Connected Layers. ICTAI (2018)
Gino Brunner, Oliver Richter, Yuyi Wang, Roger Wattenhofer
Teaching a Machine to Read Maps With Deep Reinforcement Learning. AAAI (2018)
Gino Brunner, Manuel Fritsche, Oliver Richter, Roger Wattenhofer
Using State Predictions for Value Regularization in Curiosity Driven Deep Reinforcement Learning. CoRR (2018)
Gino Brunner, Oliver Richter, Yuyi Wang, Roger Wattenhofer
Teaching a Machine to Read Maps with Deep Reinforcement Learning. CoRR (2017)
Klaus-Tycho Foerster, Oliver Richter, Jochen Seidel, Roger Wattenhofer
Local Checkability in Dynamic Networks. ICDCN (2017)