The cumulative number of learning steps. Our modified DDPG algorithm
![](https://www.researchgate.net/publication/328400314/figure/fig5/AS:746454297628673@1554979981204/The-cumulative-number-of-learning-steps-Our-modified-DDPG-algorithm-learns-about-twice.png)
![](https://pub.mdpi-res.com/sensors/sensors-23-09520/article_deploy/html/images/sensors-23-09520-g001-550.jpg?1701330372)
Sensors, Free Full-Text
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Deep Reinforcement Learning: From SARSA to DDPG and beyond, by Pascal Janetzky
![](https://miro.medium.com/v2/resize:fit:1400/1*fHSvHDR7aWm6dasJA6Zy6Q.png)
ElegantRL Demo: Stock Trading Using DDPG (Part I), by XiaoYang-ElegantRL
![](https://www.researchgate.net/publication/245030976/figure/fig1/AS:424353247567873@1478185106511/This-figure-shows-a-dart-throw-on-the-real-Kuka-KR-6-robot.png)
This figure shows a dart throw on the real Kuka KR 6 robot.
![](https://www.researchgate.net/profile/Alireza-Fereidunian/publication/251993504/figure/fig1/AS:341245621751814@1458370704955/Architecture-of-IT-Infrastructure-in-Smart-Grid-for-Feeder-Reconfiguration-Function_Q320.jpg)
Mohammad Ali ZAMANI, Researcher, PhD fellow, R&D
![](https://www.mdpi.com/sensors/sensors-20-05443/article_deploy/html/images/sensors-20-05443-g001.png)
Sensors, Free Full-Text
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RL — Actor-Critic Methods: A3C, GAE, DDPG, Q-prop, by Jonathan Hui
![](https://discuss.pytorch.org/uploads/default/original/3X/0/5/054568156a1657d651fa7f5525eb013e3722b8fc.jpeg)
Does Modifying an argument of a learning algo (which results in chaging it's concept) make it count as a new veriation or not - reinforcement- learning - PyTorch Forums
![](https://media.springernature.com/lw685/springer-static/image/art%3A10.1007%2Fs11063-023-11393-z/MediaObjects/11063_2023_11393_Fig1_HTML.png)
A Modified Convergence DDPG Algorithm for Robotic Manipulation
![](https://arxiv.org/html/2312.07953v2/extracted/5294224/sections/images/system_architecture.png)
Enhancing Robotic Navigation: An Evaluation of Single and Multi-Objective Reinforcement Learning Strategies
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Control of neural systems at multiple scales using model-free, deep reinforcement learning
![](https://miro.medium.com/v2/resize:fit:1400/1*Ggvu087C6FA23op4nJTasg.png)
RL — Reinforcement Learning Algorithms Comparison, by Jonathan Hui
![](https://i1.rgstatic.net/ii/profile.image/272708751589396-1442030241532_Q64/Fuchun-Sun-2.jpg)
PDF) Accelerating Deep Continuous Reinforcement Learning through Task Simplification
![](https://media.springernature.com/lw685/springer-static/image/art%3A10.1007%2Fs11063-023-11393-z/MediaObjects/11063_2023_11393_Fig4_HTML.png)
A Modified Convergence DDPG Algorithm for Robotic Manipulation
![](https://www.elibrary.imf.org/view/journals/001/2022/259/images/9798400224713_f0025-02.jpg)
Deep Reinforcement Learning: Emerging Trends in Macroeconomics and Future Prospects in: IMF Working Papers Volume 2022 Issue 259 (2022)