Distributed Continuous Control with Meta Learning On Robotic Arms
碩士 === 國立臺灣大學 === 電機工程學研究所 === 106 === Deep reinforcement learning has been proposed for training the control of robotic arms, such as Deep Q-Learning (DQN) and Policy Gradient (PG). The approach of Deterministic Deep Policy Gradient (DDPG) takes the advantage of deterministic policy instead of stoc...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2018
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| Online Access: | http://ndltd.ncl.edu.tw/handle/e567c9 |