Trajectory Generation for Robotic Pick-and-Place Task Based on Nested Double-Memory Deep Deterministic Policy Gradient

Citation Author(s):: Fengkang Ying
Submitted by:: Ying Fengkang
Last updated:: Tue, 01/26/2021 - 07:45
DOI:: 10.21227/10dm-ks32

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Abstract

Trajectory generation for robotic pick-and-place task using nested double-memory deep deterministic policy gradient.

Instructions:

Trajectory generation for robotic pick-and-place task using nested double-memory deep deterministic policy gradient.

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Dataset Citation

Fengkang Ying, "Trajectory Generation for Robotic Pick-and-Place Task Based on Nested Double-Memory Deep Deterministic Policy Gradient", IEEE Dataport, January 26, 2021, doi:10.21227/10dm-ks32

@data{10dm-ks32-21,
doi = {10.21227/10dm-ks32},
url = {https://dx.doi.org/10.21227/10dm-ks32},
author = {Fengkang Ying},
publisher = {IEEE Dataport},
title = {Trajectory Generation for Robotic Pick-and-Place Task Based on Nested Double-Memory Deep Deterministic Policy Gradient},
year = {2021} }

TY - DATA
T1 - Trajectory Generation for Robotic Pick-and-Place Task Based on Nested Double-Memory Deep Deterministic Policy Gradient
AU - Fengkang Ying
PY - 2021
PB - IEEE Dataport
UR - 10.21227/10dm-ks32
ER -

Fengkang Ying (2021). Trajectory Generation for Robotic Pick-and-Place Task Based on Nested Double-Memory Deep Deterministic Policy Gradient. IEEE Dataport. https://dx.doi.org/10.21227/10dm-ks32

Fengkang Ying 2021 Trajectory Generation for Robotic Pick-and-Place Task Based on Nested Double-Memory Deep Deterministic Policy Gradient. Available at: https://dx.doi.org/10.21227/10dm-ks32

Fengkang Ying.(2021). "Trajectory Generation for Robotic Pick-and-Place Task Based on Nested Double-Memory Deep Deterministic Policy Gradient." Web,

1. Fengkang Ying. Trajectory Generation for Robotic Pick-and-Place Task Based on Nested Double-Memory Deep Deterministic Policy Gradient [Internet]. IEEE Dataport; 2021. Available from: https://dx.doi.org/10.21227/10dm-ks32

Fengkang Ying, "Trajectory Generation for Robotic Pick-and-Place Task Based on Nested Double-Memory Deep Deterministic Policy Gradient,", doi: 10.21227/10dm-ks32.