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Found 2 papers, 1 papers with code
Receding Horizon Task and Motion Planning in Changing Environments
Our approach iteratively solves a reduced planning problem over a receding window of a limited number of future actions during the implementation of the actions.
Robotics
Robotic Arm Control and Task Training through Deep Reinforcement Learning
This paper proposes a detailed and extensive comparison of the Trust Region Policy Optimization and DeepQ-Network with Normalized Advantage Functions with respect to other state of the art algorithms, namely Deep Deterministic Policy Gradient and Vanilla Policy Gradient.
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