Nov 22, 2022 · We evaluate this approach on a simulated robotic environment, where the robot has to autonomously discover its abilities from its full-state trajectories.
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In this work, we propose an extended analysis of AURORA, where behavioural characterisations are learned based on the complete trajectory of the robot raw ...
This work proposes an additional analysis of Autonomous Robots Realising their Abilities; a Quality-Diversity algorithm that autonomously discovers ...
Nov 22, 2022 · In this work, we propose an extended analysis of AURORA, where behavioural characterisations are learned based on the complete trajectory of the ...
We provide theoretical analysis showing that these methods tend to reinforce already discovered behav- iors at the expense of exploring in order to discover new.
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Discovering Unsupervised Behaviours from Full-State Trajectories. L Grillotti, A Cully. arXiv preprint arXiv:2211.15451, 2022. 1, 2022. QDax: on the benefits of ...
Jun 6, 2024 · This is achieved by training an autoencoder to reconstruct the trajectories collected in the environments and defining the behavior space as the ...
This chapter starts with one of the most popular unsupervised learning algorithms: k k -means clustering. Next, an example of how this technique can be applied ...
Oct 2, 2024 · We present Progressive Diversity Reinforcement Learning (PDRL), an unsupervised reinforcement learning (URL) method for discovering diverse skills.
Missing: Behaviours | Show results with:Behaviours
Jan 9, 2024 · HUB-DT is able to discover subsets of behaviours, amongst the full set of discovered behaviours, which are related to manual behavioural ...