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Learning Extended Body Schemas from Visual Keypoints for Object Manipulation
Humans have impressive generalization capabilities when it comes to mani...
11/08/2020 ∙ by Sarah Bechtle, et al. ∙
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Leveraging Forward Model Prediction Error for Learning Control
Learning for model based control can be sample-efficient and generalize ...
11/07/2020 ∙ by Sarah Bechtle, et al. ∙
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Model-Based Inverse Reinforcement Learning from Visual Demonstrations
Scaling model-based inverse reinforcement learning (IRL) to real robotic...
10/18/2020 ∙ by Neha Das, 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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Curious iLQR: Resolving Uncertainty in Model-based RL
Curiosity as a means to explore during reinforcement learning problems h...
04/15/2019 ∙ by Sarah Bechtle, et al. ∙
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