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05/22/2023
End-to-End Stable Imitation Learning via Autonomous Neural Dynamic Policies
State-of-the-art sensorimotor learning algorithms offer policies that ca...
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12/07/2022
Combining Planning, Reasoning and Reinforcement Learning to solve Industrial Robot Tasks
One of today's goals for industrial robot systems is to allow fast and e...
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10/18/2022
Online Damage Recovery for Physical Robots with Hierarchical Quality-Diversity
In real-world environments, robots need to be resilient to damages and r...
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08/02/2022
Learning Skill-based Industrial Robot Tasks with User Priors
Robot skills systems are meant to reduce robot setup time for new manufa...
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04/12/2022
Hierarchical Quality-Diversity for Online Damage Recovery
Adaptation capabilities, like damage recovery, are crucial for the deplo...
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03/18/2022
Skill-based Multi-objective Reinforcement Learning of Industrial Robot Tasks with Planning and Knowledge Integration
In modern industrial settings with small batch sizes it should be easy t...
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09/27/2021
Learning of Parameters in Behavior Trees for Movement Skills
Reinforcement Learning (RL) is a powerful mathematical framework that al...
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12/08/2020
Quality-Diversity Optimization: a novel branch of stochastic optimization
Traditional optimization algorithms search for a single global optimum t...
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07/06/2018
A survey on policy search algorithms for learning robot controllers in a handful of trials
Most policy search algorithms require thousands of training episodes to ...
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06/25/2018
Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse Rewards
The most data-efficient algorithms for reinforcement learning in robotic...
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09/20/2017
Bayesian Optimization with Automatic Prior Selection for Data-Efficient Direct Policy Search
One of the most interesting features of Bayesian optimization for direct...
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09/20/2017
Using Parameterized Black-Box Priors to Scale Up Model-Based Policy Search for Robotics
The most data-efficient algorithms for reinforcement learning in robotic...
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11/22/2016
Limbo: A Fast and Flexible Library for Bayesian Optimization
Limbo is an open-source C++11 library for Bayesian optimization which is...
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10/18/2016
Using Centroidal Voronoi Tessellations to Scale Up the Multi-dimensional Archive of Phenotypic Elites Algorithm
The recently introduced Multi-dimensional Archive of Phenotypic Elites (...
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10/13/2016
Reset-free Trial-and-Error Learning for Robot Damage Recovery
The high probability of hardware failures prevents many advanced robots ...
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10/05/2016
Towards semi-episodic learning for robot damage recovery
The recently introduced Intelligent Trial and Error algorithm (IT&E) ena...
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05/24/2016