A survey on deep reinforcement learning algorithms for robotic manipulation

HIGHLIGHTS

• who: Dong Han and colleagues from the School of Electrical and Computer Engineering, University of Oklahoma, Norman, OK, USA have published the article: A Survey on Deep Reinforcement Learning Algorithms for Robotic Manipulation, in the Journal: Sensors 2023, 23, 3762. of /2023/
• what: In policy gradient methods, the authors aim to optimize a policy objective function, such as the expected cumulative reward, using gradient descent. It involves multiple sub-policies working together in a hierarchical framework, rather than just one policy trying to accomplish the overall goal. The article provides a unified framework by demonstrating . . .
  

   

  

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