Journal Papers

Klink, P.; Abdulsamad, H.; Belousov, B.; D'Eramo, C.; Peters, J.; Pajarinen, J. (submitted). A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning, Submitted to the Journal of Machine Learning Research (JMLR).   Download Article [PDF]   BibTeX Reference [BibTex]

Akrour, R.; Abdolmaleki, A.; Abdulsamad, H.; Peters, J.; Neumann, G. (2018). Model-Free Trajectory-based Policy Optimization with Monotonic Improvement, Journal of Machine Learning Research (JMLR).   Download Article [PDF]   BibTeX Reference [BibTex]

Conference Papers

Abdulsamad, H.; Nickl, P.; Klink, P.; Peters, J. (2021). A Variational Infinite Mixture for Probabilistic Inverse Dynamics Learning, Proceedings of the IEEE International Conference on Robotics and Automation (ICRA).   Download Article [PDF]   BibTeX Reference [BibTex]

Abdulsamad, H.; Dorau, T.; Belousov, B.; Zhu, J.-J; Peters, J. (2021). Distributionally Robust Trajectory Optimization Under Uncertain Dynamics via Relative-Entropy Trust Regions, arXiv.   Download Article [PDF]   BibTeX Reference [BibTex]

Tosatto, S.; Carvalho, J.; Abdulsamad, H.; Peters, J. (2020). A Nonparametric Off-Policy Policy Gradient, Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics (AISTATS).   Download Article [PDF]   BibTeX Reference [BibTex]

Abdulsamad, H.; Peters, J. (2020). Hierarchical Decomposition of Nonlinear Dynamics and Control for System Identification and Policy Distillation, 2nd Annual Conference on Learning for Dynamics and Control.   Download Article [PDF]   BibTeX Reference [BibTex]

Abdulsamad, H.; Peters, J. (2020). Learning Hybrid Dynamics and Control, ECML/PKDD Workshop on Deep Continuous-Discrete Machine Learning.   BibTeX Reference [BibTex]

Belousov, B.; Abdulsamad, H.; Schultheis, M.; Peters, J. (2019). Belief space model predictive control for approximately optimal system identification, 4th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM).   Download Article [PDF]   BibTeX Reference [BibTex]

Celik, O.; Abdulsamad, H.; Peters, J. (2019). Chance-Constrained Trajectory Optimization for Nonlinear Systems with Unknown Stochastic Dynamics, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).   Download Article [PDF]   BibTeX Reference [BibTex]

Schultheis, M.; Belousov, B.; Abdulsamad, H.; Peters, J. (2019). Receding Horizon Curiosity, Proceedings of the 3rd Conference on Robot Learning (CoRL).   Download Article [PDF]   BibTeX Reference [BibTex]

Klink, P.; Abdulsamad, H.; Belousov, B.; Peters, J. (2019). Self-Paced Contextual Reinforcement Learning, Proceedings of the 3rd Conference on Robot Learning (CoRL).   Download Article [PDF]   BibTeX Reference [BibTex]

Watson, J.; Abdulsamad, H.; Peters, J. (2019). Stochastic Optimal Control as Approximate Input Inference, Conference on Robot Learning (CoRL 2019).   Download Article [PDF]   BibTeX Reference [BibTex]

Abdulsamad, H.; Naveh, K.; Peters, J. (2019). Model-Based Relative Entropy Policy Search for Stochastic Hybrid Systems, 4th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM).   BibTeX Reference [BibTex]

Abdulsamad, H.; Arenz, O.; Peters, J.; Neumann, G. (2017). State-Regularized Policy Search for Linearized Dynamical Systems, Proceedings of the International Conference on Automated Planning and Scheduling (ICAPS).   Download Article [PDF]   BibTeX Reference [BibTex]

Arenz, O.; Abdulsamad, H.; Neumann, G. (2016). Optimal Control and Inverse Optimal Control by Distribution Matching, Proceedings of the International Conference on Intelligent Robots and Systems (IROS), IEEE.   Download Article [PDF]   BibTeX Reference [BibTex]

Akrour, R.; Abdolmaleki, A.; Abdulsamad, H.; Neumann, G. (2016). Model-Free Trajectory Optimization for Reinforcement Learning, Proceedings of the International Conference on Machine Learning (ICML).   Download Article [PDF]   BibTeX Reference [BibTex]

Parisi, S.; Abdulsamad, H.; Paraschos, A.; Daniel, C.; Peters, J. (2015). Reinforcement Learning vs Human Programming in Tetherball Robot Games, Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS).   Download Article [PDF]   BibTeX Reference [BibTex]

Books

Belousov, B.; Abdulsamad H.; Klink, P.; Parisi, S.; Peters, J. (2021). Reinforcement Learning Algorithms: Analysis and Applications, Studies in Computational Intelligence, Springer International Publishing.   Download Article [PDF]   BibTeX Reference [BibTex]

Theses

Abdulsamad, H. (2016). Stochastic Optimal Control with Linearized Dynamics, Master Thesis.   Download Article [PDF]   BibTeX Reference [BibTex]

  

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