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Curriculum reinforcement learning via constrained optimal transport

International Conference on Machine Learning (ICML) 2022

Pascal Klink, Haoyi Yang, Carlo D’Eramo, Joni Pajarinen, Jan Peters

Boosted Curriculum Reinforcement Learning

International Conference on Learning Representations 2022

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

GPU-accelerated policy optimization via batch automatic differentiation of gaussian processes for real-world control

IEEE International Conference on Robotics and Automation 2022

Abdolreza Taheri, Joni Pajarinen, Reza Ghabcheloo

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

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

Hybrid Control Trajectory Optimization under Uncertainty

In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2017

Joni Pajarinen, Ville Kyrki, Michael Koval, Siddhartha Srinivasa, Jan Peters, Gerhard Neumann