2025
Maximum Total Correlation Reinforcement Learning.
CoRR, May, 2025

LODGE: Joint Hierarchical Task Planning and Learning of Domain Models with Grounded Execution.
CoRR, May, 2025

Learning from Less: Guiding Deep Reinforcement Learning with Differentiable Symbolic Planning.
CoRR, May, 2025

Machine Learning with Physics Knowledge for Prediction: A Survey.
Trans. Mach. Learn. Res., 2025

2023
Digital Twin of a Driver-in-the-Loop Race Car Simulation With Contextual Reinforcement Learning.
IEEE Robotics Autom. Lett., July, 2023

A Unified Perspective on Natural Gradient Variational Inference with Gaussian Mixture Models.
Trans. Mach. Learn. Res., 2023

LS-IQ: Implicit Reward Regularization for Inverse Reinforcement Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Integrating contrastive learning with dynamic models for reinforcement learning from images.
Neurocomputing, 2022

Self-supervised Sequential Information Bottleneck for Robust Exploration in Deep Reinforcement Learning.
CoRR, 2022

2020
A Haptic Shared-Control Architecture for Guided Multi-Target Robotic Grasping.
IEEE Trans. Haptics, 2020

Probabilistic Approach to Physical Object Disentangling.
IEEE Robotics Autom. Lett., 2020

Trust-Region Variational Inference with Gaussian Mixture Models.
J. Mach. Learn. Res., 2020

Non-Adversarial Imitation Learning and its Connections to Adversarial Methods.
CoRR, 2020

Assisted teleoperation in changing environments with a mixture of virtual guides.
Adv. Robotics, 2020

Deep Adversarial Reinforcement Learning for Object Disentangling.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Expected Information Maximization: Using the I-Projection for Mixture Density Estimation.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Learning Trajectory Distributions for Assisted Teleoperation and Path Planning.
Frontiers Robotics AI, 2019

2018
Efficient Gradient-Free Variational Inference using Policy Search.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
State-Regularized Policy Search for Linearized Dynamical Systems.
Proceedings of the Twenty-Seventh International Conference on Automated Planning and Scheduling, 2017

2016
Optimal control and inverse optimal control by distribution matching.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016