Tim Hertweck

According to our database1, Tim Hertweck authored at least 15 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Preference Optimization as Probabilistic Inference.
CoRR, 2024

Mastering Stacking of Diverse Shapes with Large-Scale Iterative Reinforcement Learning on Real Robots.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Replay across Experiments: A Natural Extension of Off-Policy RL.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
SkillS: Adaptive Skill Sequencing for Efficient Temporally-Extended Exploration.
Trans. Mach. Learn. Res., 2023

Less is more - the Dispatcher/ Executor principle for multi-task Reinforcement Learning.
CoRR, 2023

2022
The Challenges of Exploration for Offline Reinforcement Learning.
CoRR, 2022

2021
Is Curiosity All You Need? On the Utility of Emergent Behaviours from Curious Exploration.
CoRR, 2021

Representation Matters: Improving Perception and Exploration for Robotics.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Data-efficient Hindsight Off-policy Option Learning.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Simple Sensor Intentions for Exploration.
CoRR, 2020

Compositional Transfer in Hierarchical Reinforcement Learning.
Proceedings of the Robotics: Science and Systems XVI, 2020

Towards General and Autonomous Learning of Core Skills: A Case Study in Locomotion.
Proceedings of the 4th Conference on Robot Learning, 2020

2019
Disentangled Cumulants Help Successor Representations Transfer to New Tasks.
CoRR, 2019

Regularized Hierarchical Policies for Compositional Transfer in Robotics.
CoRR, 2019

Simultaneously Learning Vision and Feature-Based Control Policies for Real-World Ball-In-A-Cup.
Proceedings of the Robotics: Science and Systems XV, 2019


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