Source Themes

A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning

Journal of Machine Learning Research (JMLR) 2021

Pascal Klink, Hany Abdulsamad, Boris Belousov, Carlo D'Eramo, Jan Peters, Joni Pajarinen

Convex Regularization in Monte-Carlo Tree Search

In Proceedings of the International Conference on Machine Learning (ICML) 2021

Tuan Q Dam, Carlo D'Eramo, Jan Peters, Joni Pajarinen

Self-Paced Deep Reinforcement Learning

Advances in Neural Information Processing Systems 2020

Pascal Klink, Carlo D'Eramo, Jan Peters, Joni Pajarinen

Generalized Mean Estimation in Monte-Carlo Tree Search

In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI) 2020

Tuan Dam, Pascal Klink, Carlo D'Eramo, Jan Peters, Joni Pajarinen

Multi-agent active information gathering in discrete and continuous-state decentralized POMDPs by policy graph improvement

Autonomous Agents and Multi-Agent Systems 2020

Mikko Lauri, Joni Pajarinen, Jan Peters

Probabilistic approach to physical object disentangling

IEEE Robotics and Automation Letters 2020

Joni Pajarinen, Oleg Arenz, Jan Peters, Gerhard Neumann

Compatible natural gradient policy search

Machine Learning 2019

Joni Pajarinen, Hong Linh Thai, Riad Akrour, Jan Peters, Gerhard Neumann

Projections for Approximate Policy Iteration Algorithms

In Proceedings of the International Conference on Machine Learning (ICML) 2019

Riad Akrour, Joni Pajarinen, Jan Peters, Gerhard Neumann

Learning Intention Aware Online Adaptation of Movement Primitives

IEEE Robotics and Automation Letters 2019

Dorothea Koert, Joni Pajarinen, Albert Schotschneider, Susanne Trick, Constantin Rothkopf, Jan Peters

An Algorithmic Perspective on Imitation Learning

Foundations and Trends in Robotics 2018

Takayuki Osa, Joni Pajarinen, Gerhard Neumann, J Andrew Bagnell, Pieter Abbeel, Jan Peters