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08/31/2023
A Policy Adaptation Method for Implicit Multitask Reinforcement Learning Problems
In dynamic motion generation tasks, including contact and collisions, sm...
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08/04/2023
Learning to Shape by Grinding: Cutting-surface-aware Model-based Reinforcement Learning
Object shaping by grinding is a crucial industrial process in which a ro...
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07/05/2022
Randomized-to-Canonical Model Predictive Control for Real-world Visual Robotic Manipulation
Many works have recently explored Sim-to-real transferable visual model ...
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12/07/2019
Phase Portraits as Movement Primitives for Fast Humanoid Robot Control
Currently, usual approaches for fast robot control are largely reliant o...
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09/05/2019
An Optimal Assistive Control Strategy based on User's Motor Goal Estimation
In this study, we propose an optimal assistive control strategy that use...
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07/19/2013
Model-Based Policy Gradients with Parameter-Based Exploration by Least-Squares Conditional Density Estimation
The goal of reinforcement learning (RL) is to let an agent learn an opti...
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01/17/2013