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.
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Trans. Mach. Learn. Res., 2025
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
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
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
Learning Trajectory Distributions for Assisted Teleoperation and Path Planning.
Frontiers Robotics AI, 2019
Efficient Gradient-Free Variational Inference using Policy Search.
Proceedings of the 35th International Conference on Machine Learning, 2018
State-Regularized Policy Search for Linearized Dynamical Systems.
Proceedings of the Twenty-Seventh International Conference on Automated Planning and Scheduling, 2017
Optimal control and inverse optimal control by distribution matching.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016