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09/11/2023
Mind the Uncertainty: Risk-Aware and Actively Exploring Model-Based Reinforcement Learning
We introduce a simple but effective method for managing risk in model-ba...
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08/15/2023
Real Robot Challenge 2022: Learning Dexterous Manipulation from Offline Data in the Real World
Experimentation on real robots is demanding in terms of time and costs. ...
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07/28/2023
Benchmarking Offline Reinforcement Learning on Real-Robot Hardware
Learning policies from previously recorded data is a promising direction...
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06/21/2023
Optimistic Active Exploration of Dynamical Systems
Reinforcement learning algorithms commonly seek to optimize policies for...
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09/16/2022
Versatile Skill Control via Self-supervised Adversarial Imitation of Unlabeled Mixed Motions
Learning diverse skills is one of the main challenges in robotics. To th...
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06/23/2022
Learning Agile Skills via Adversarial Imitation of Rough Partial Demonstrations
Learning agile skills is one of the main challenges in robotics. To this...
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06/22/2022
Curious Exploration via Structured World Models Yields Zero-Shot Object Manipulation
It has been a long-standing dream to design artificial agents that explo...
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08/14/2020
Sample-efficient Cross-Entropy Method for Real-time Planning
Trajectory optimizers for model-based reinforcement learning, such as th...
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06/19/2019
