Main Content

Ten selected Publications

• Le AT, Chalvatzaki G, Biess A, Peters J (2023).
  Accelerating Motion Planning via Optimal Transport.
  Advances  in  Neural  Information  Processing  Systems  (NIPS).
  URL: https://papers.nips.cc/paper_files/paper/2023/file/f7a94134f1c726796c6f81fb946e489d-Paper-Conference.pdf
  
  
• Watson, J., Lin J. A., Klink, P., Pajarinen, J., Peters, J. (2021). 
  Latent Derivative Bayesian Last Layer Networks.
  Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS).
  URL: https://proceedings.mlr.press/v130/watson21a/watson21a.pdf
   
• Ploeger K, Lutter M, Peters J (2020).
  High Acceleration Reinforcement Learning for Real-World Juggling with Binary Rewards.
  Proceedings  of  the  4th  Conference  on  Robot Learning (CoRL).
  URL: https://proceedings.mlr.press/v155/ploeger21a.html
  
  
• D`Eramo, C., Tateo, D., Bonarini, A., Restelli, M., Peters, J. (2020). 
  Sharing Knowledge in Multi-Task Deep Reinforcement Learning.
  International Conference in Learning Representations (ICLR).
  URL: https://openreview.net/forum?id=rkgpv2VFvr
   
• Klink P, D’Eramo C, Peters J, Pajarinen J (2020).
  Self-Paced Deep Reinforcement Learning.
  Advances  in  Neural  Information  Processing  Systems  33  (NeurIPS).
  URL: https://proceedings.neurips.cc/paper/2020/file/68a9750337a418a86fe06c1991a1d64c-Paper.pdf
  
  
• Lioutikov R, Maeda G, Veiga FF, Kersting K, Peters J (2020).
  Learning Attribute Grammars for Movement Primitive Sequencing.
  International Journal of Robotics Research  (IJRR), 39, 1, pp.21-38.
  DOI: 10.1177/0278364919868279
  
  
• Lutter, M., Ritter, C., Peters, J. (2019). 
  Deep Lagrangian Networks: Using Physics as Model Prior for Deep Learning.
  International Conference on Learning Representations (ICLR).
  URL: https://openreview.net/forum?id=BklHpjCqKm
   
• Belousov B, Neumann G, Rothkopf C, Peters J (2016).
  Catching heuristics are optimal control policies.
  Advances  in Neural  Information  Processing  Systems  29  (NIPS).
  DOI: 10.5555/3157096.3157257
  
  
• Kober, J., Peters, J. (2011). 
  Policy Search for Motor Primitives in Robotics.
  Machine Learning, 84(1), pp.171–203.
  DOI: 10.1007/s10994-010-5223-6
  
  
• Peters, J., Schaal, S. (2008).
  Natural Actor-Critic.
  Neurocomputing, 71(7), pp.1180-90.
  DOI: 10.1016/j.neucom.2007.11.026