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08/03/2023
Motion Planning Diffusion: Learning and Planning of Robot Motions with Diffusion Models
Learning priors on trajectory distributions can help accelerate robot mo...
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03/07/2023
Diminishing Return of Value Expansion Methods in Model-Based Reinforcement Learning
Model-based reinforcement learning is one approach to increase sample ef...
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03/08/2022
A Hierarchical Approach to Active Pose Estimation
Creating mobile robots which are able to find and manipulate objects in ...
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03/08/2022
Residual Robot Learning for Object-Centric Probabilistic Movement Primitives
It is desirable for future robots to quickly learn new tasks and adapt l...
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03/08/2022
An Analysis of Measure-Valued Derivatives for Policy Gradients
Reinforcement learning methods for robotics are increasingly successful ...
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07/20/2021
An Empirical Analysis of Measure-Valued Derivatives for Policy Gradients
Reinforcement learning methods for robotics are increasingly successful ...
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10/27/2020
Batch Reinforcement Learning with a Nonparametric Off-Policy Policy Gradient
Off-policy Reinforcement Learning (RL) holds the promise of better data ...
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01/08/2020
A Nonparametric Offpolicy Policy Gradient
Reinforcement learning (RL) algorithms still suffer from high sample com...
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09/05/2017