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Supervised Learning and Reinforcement Learning of Feedback Models for Reactive Behaviors: Tactile Feedback Testbed
Robots need to be able to adapt to unexpected changes in the environment...
06/29/2020 ∙ by Giovanni Sutanto, et al. ∙
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Meta-Learning via Learned Loss
We present a meta-learning approach based on learning an adaptive, high-...
06/12/2019 ∙ by Yevgen Chebotar, et al. ∙
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Learning Latent Space Dynamics for Tactile Servoing
In order to achieve a dexterous robotic manipulation, we need to equip o...
11/08/2018 ∙ by Giovanni Sutanto, et al. ∙
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Closing the Sim-to-Real Loop: Adapting Simulation Randomization with Real World Experience
We consider the problem of transferring policies to the real world by tr...
10/12/2018 ∙ by Yevgen Chebotar, et al. ∙
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Collective Robot Reinforcement Learning with Distributed Asynchronous Guided Policy Search
In principle, reinforcement learning and policy search methods can enabl...
10/03/2016 ∙ by Ali Yahya, et al. ∙
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