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Items where Division is "20 Department of Computer Science > Intelligent Autonomous Systems" and Year is [pin missing: value2]

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Number of items at this level (without sub-levels): 38.

A

Arenz, Julian Oleg (2021):
Sample-Efficient I-Projections for Robot Learning. (Publisher's Version)
Darmstadt, Technische Universität,
DOI: 10.12921/tuprints-00014271,
[Ph.D. Thesis]

B

Belousov, Boris ; Peters, Jan (2019):
Entropic Regularization of Markov Decision Processes.
21, In: Entropy, (7), MDPI, ISSN 1099-4300,
DOI: 10.3390/e21070674,
[Article]

Büchler, Dieter (2019):
Robot Learning for Muscular Systems. (Publisher's Version)
Darmstadt, Technische Universität,
DOI: 10.25534/tuprints-00017210,
[Ph.D. Thesis]

C

Calandra, Roberto (2017):
Bayesian Modeling for Optimization and Control in Robotics.
Darmstadt, Technische Universität,
[Ph.D. Thesis]

D

Daniel, Christian (2016):
Learning Hierarchical Policies from Human Feedback.
Darmstadt, Technische Universität Darmstadt,
[Ph.D. Thesis]

Delfa Victoria, Juan Manuel (2016):
Automated Hierarchical, Forward-Chaining Temporal Planner for Planetary Robots Exploring Unknown Environments.
Darmstadt, Technische Universität Darmstadt,
[Ph.D. Thesis]

Dezfuli, Niloofar (2015):
Novel Interaction Concepts for Event Participation Through Social Television.
Darmstadt, Technische Universität,
[Ph.D. Thesis]

E

Ewerton, Marco ; Arenz, Oleg ; Maeda, Guilherme ; Koert, Dorothea ; Kolev, Zlatko ; Takahashi, Masaki ; Peters, Jan (2019):
Learning Trajectory Distributions for Assisted Teleoperation and Path Planning.
In: Frontiers in Robotics and AI, 6, Frontiers, e-ISSN 2296-9144,
DOI: 10.25534/tuprints-00009657,
[Article]

F

Fernandes Veiga, Filipe (2018):
Towards Dexterous In-Hand Manipulation through Tactile Sensing.
Darmstadt, Technische Universität,
[Ph.D. Thesis]

G

Gebhardt, Gregor H.W. (2019):
Using Mean Embeddings for State Estimation and Reinforcement Learning.
Darmstadt, Technische Universität,
[Ph.D. Thesis]

Gomez Gonzalez, Sebastian (2020):
Real Time Probabilistic Models for Robot Trajectories.
Darmstadt, Technische Universität Darmstadt,
DOI: 10.25534/tuprints-00011492,
[Ph.D. Thesis]

Gomez-Gonzalez, Sebastian ; Nemmour, Yassine ; Schölkopf, Bernhard ; Peters, Jan (2022):
Reliable Real-Time Ball Tracking for Robot Table Tennis. (Publisher's Version)
In: Robotics, 8 (4), MDPI, e-ISSN 2218-6581,
DOI: 10.26083/tuprints-00015740,
[Article]

K

Kober, Jens (2012):
Learning Motor Skills: From Algorithms to Robot Experiments.
Darmstadt, Technische Universität,
[Ph.D. Thesis]

Koc, Okan (2018):
Optimal Trajectory Generation and Learning Control for Robot Table Tennis.
Darmstadt, Technische Universität,
[Ph.D. Thesis]

Koert, Dorothea (2020):
Interactive Machine Learning for Assistive Robots. (Publisher's Version)
Darmstadt, Technische Universität,
DOI: 10.25534/tuprints-00014184,
[Ph.D. Thesis]

Koert, Dorothea ; Kircher, Maximilian ; Salikutluk, Vildan ; D'Eramo, Carlo ; Peters, Jan (2021):
Multi-Channel Interactive Reinforcement Learning for Sequential Tasks. (Publisher's Version)
In: Frontiers in Robotics and AI, 7, Frontiers, e-ISSN 2296-9144,
DOI: 10.26083/tuprints-00019239,
[Article]

L

Lampariello, Roberto (2021):
Optimal Motion Planning for Object Interception and Capture. (Publisher's Version)
Darmstadt, Technische Universität,
DOI: 10.26083/tuprints-00017617,
[Ph.D. Thesis]

Lioutikov, Rudolf (2018):
Parsing Motion and Composing Behavior for Semi-Autonomous Manipulation.
Darmstadt, Technische Universität,
[Ph.D. Thesis]

Luck, Kevin Sebastian (2014):
Latent Space Reinforcement Learning.
Darmstadt, Technische Universität, [Bachelor Thesis]

Lutter, Michael (2021):
Inductive Biases in Machine Learning for Robotics and Control. (Publisher's Version)
Darmstadt, Technische Universität,
DOI: 10.26083/tuprints-00020048,
[Ph.D. Thesis]

Löckel, Stefan Alexander (2022):
Machine Learning for Modeling and Analyzing of Race Car Drivers. (Publisher's Version)
Darmstadt, Technische Universität,
DOI: 10.26083/tuprints-00020218,
[Ph.D. Thesis]

M

Manschitz, Simon (2018):
Learning Sequential Skills for Robot Manipulation Tasks.
Darmstadt, Technische Universität,
[Ph.D. Thesis]

Merfels, Christian (2014):
Large-scale probabilistic feature mapping and tracking for autonomous driving.
Darmstadt, Technische Universität, [Master Thesis]

Moos, Janosch ; Hansel, Kay ; Abdulsamad, Hany ; Stark, Svenja ; Clever, Debora ; Peters, Jan (2022):
Robust Reinforcement Learning: A Review of Foundations and Recent Advances. (Publisher's Version)
In: Machine Learning and Knowledge Extraction, 4 (1), pp. 276-315. MDPI, e-ISSN 2504-4990,
DOI: 10.26083/tuprints-00021118,
[Article]

Muelling, Katharina (2013):
Modeling and Learning of Complex Motor Tasks: A Case Study with Robot Table Tennis.
Darmstadt, Technische Universität,
[Ph.D. Thesis]

Muratore, Fabio (2021):
Randomizing Physics Simulations for Robot Learning. (Publisher's Version)
Darmstadt, Technische Universität,
DOI: 10.26083/tuprints-00019940,
[Ph.D. Thesis]

Muratore, Fabio ; Ramos, Fabio ; Turk, Greg ; Yu, Wenhao ; Gienger, Michael ; Peters, Jan (2022):
Robot Learning From Randomized Simulations: A Review. (Publisher's Version)
In: Frontiers in Robotics and AI, 9, Frontiers, e-ISSN 2296-9144,
DOI: 10.26083/tuprints-00021227,
[Article]

P

Pajarinen, Joni ; Thai, Hong Linh ; Akrour, Riad ; Peters, Jan ; Neumann, Gerhard (2022):
Compatible natural gradient policy search. (Publisher's Version)
In: Machine Learning, 108 (8-9), pp. 1443-1466. Springer, ISSN 0885-6125, e-ISSN 1573-0565,
DOI: 10.26083/tuprints-00020531,
[Article]

Paraschos, Alexandros (2017):
Robot Skill Representation, Learning and Control with Probabilistic Movement Primitives.
Darmstadt, Technische Universität,
[Ph.D. Thesis]

Parisi, Simone (2020):
Reinforcement Learning with Sparse and Multiple Rewards.
Darmstadt, Technische Universität,
DOI: 10.25534/tuprints-00011372,
[Ph.D. Thesis]

Parisi, Simone ; Tateo, Davide ; Hensel, Maximilian ; D’Eramo, Carlo ; Peters, Jan ; Pajarinen, Joni (2022):
Long-Term Visitation Value for Deep Exploration in Sparse-Reward Reinforcement Learning. (Publisher's Version)
In: Algorithms, 15 (3), MDPI, e-ISSN 1999-4893,
DOI: 10.26083/tuprints-00021017,
[Article]

R

Rawal, Niyati ; Koert, Dorothea ; Turan, Cigdem ; Kersting, Kristian ; Peters, Jan ; Stock-Homburg, Ruth (2022):
ExGenNet: Learning to Generate Robotic Facial Expression Using Facial Expression Recognition. (Publisher's Version)
In: Frontiers in Robotics and AI, 8, Frontiers Media S.A., e-ISSN 2296-9144,
DOI: 10.26083/tuprints-00020336,
[Article]

S

Sousa Ewerton, Marco Antonio (2020):
Bidirectional Human-Robot Learning: Imitation and Skill Improvement.
Darmstadt, Technische Universität,
DOI: 10.25534/tuprints-00011875,
[Ph.D. Thesis]

T

Tanneberg, Daniel (2020):
Understand-Compute-Adapt: Neural Networks for Intelligent Agents. (Publisher's Version)
Darmstadt, Technische Universität Darmstadt,
DOI: 10.25534/tuprints-00017234,
[Ph.D. Thesis]

Tosatto, Samuele (2021):
Off-Policy Reinforcement Learning for Robotics. (Publisher's Version)
Darmstadt, Technische Universität,
DOI: 10.26083/tuprints-00017536,
[Ph.D. Thesis]

V

Vinogradska, Julia (2018):
Gaussian Processes in Reinforcement Learning: Stability Analysis and Efficient Value Propagation.
Darmstadt, Technische Universität,
[Ph.D. Thesis]

van Hoof, Herke (2016):
Machine Learning through Exploration for Perception-Driven Robotics.
Darmstadt, Technische Universität Darmstadt,
[Ph.D. Thesis]

W

Wang, Zhikun (2013):
Intention Inference and Decision Making with Hierarchical Gaussian Process Dynamics Models.
Darmstadt, Technische Universität,
[Ph.D. Thesis]

This list was generated on Tue Jul 5 00:26:09 2022 CEST.