Pajarinen, Joni ; Thai, Hong Linh ; Akrour, Riad ; Peters, Jan ; Neumann, Gerhard (2022)
Compatible natural gradient policy search.
In: Machine Learning, 108 (8-9)
doi: 10.26083/tuprints-00020531
Article, Secondary publication, Publisher's Version

Laux, Melvin ; Arenz, Oleg ; Peters, Jan ; Pajarinen, Joni (2022)
Deep Adversarial Reinforcement Learning for Object Disentangling.
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Las Vegas, USA (Virtual) (25.10.-29.10.2020)
doi: 10.26083/tuprints-00022926
Conference or Workshop Item, Secondary publication, Postprint

Koert, Dorothea ; Pajarinen, Joni ; Schotschneider, Albert ; Trick, Susanne ; Rothkopf, Constantin A. ; Peters, Jan (2022)
Learning Intention Aware Online Adaptation of Movement Primitives.
In: IEEE Robotics and Automation Letters, 4 (4)
doi: 10.26083/tuprints-00020543
Article, Secondary publication, Postprint

Parisi, Simone ; Tateo, Davide ; Hensel, Maximilian ; D’Eramo, Carlo ; Peters, Jan ; Pajarinen, Joni (2022)
Long-Term Visitation Value for Deep Exploration in Sparse-Reward Reinforcement Learning.
In: Algorithms, 15 (3)
doi: 10.26083/tuprints-00021017
Article, Secondary publication, Publisher's Version

Pajarinen, Joni ; Arenz, Oleg ; Peters, Jan ; Neumann, Gerhard (2022)
Probabilistic Approach to Physical Object Disentangling.
In: IEEE Robotics and Automation Letters, 5 (4)
doi: 10.26083/tuprints-00022927
Article, Secondary publication, Postprint

Akrour, Riad ; Pajarinen, Joni ; Peters, Jan ; Neumann, Gerhard (2022)
Projections for Approximate Policy Iteration Algorithms.
36th International Conference on Machine Learning. Long Beach, California, USA (09.-15.06.2019)
doi: 10.26083/tuprints-00020582
Conference or Workshop Item, Secondary publication, Publisher's Version