Hybrid of representation learning and reinforcement learning for dynamic and complex robotic motion planning - Zhou, Chengmin; Lu, Xin; Dai, Jiapeng; Liu, Xiaoxu; Huang, Bingding; Fränti, Pasi (Robotics and autonomous systems, 2025)
Keywords: Intelligent robot; Motion planning; Navigation; Reinforcement learning; Representation learning; deep deterministic policy gradient; skip connection for attention-based DSAC; advantage actor critic; Long short-term memory; relational graph based DSAC; Representation learning; twin delayed deep deterministic policy gradient; Monte-Carlo tree search; optimal reciprocal collision avoidance; proximal policy optimization; dynamic window approach; relational graph; Navigation; probabilistic roadmap method; multi-layer perceptron; convolutional neural network; pulse-width modulation; Reinforcement learning; Intelligent robot; Motion planning; LSTM and skip connection for attention-based discrete soft actor critic; rapidly exploring random tree; Deep learning algorithms; attention weight based DSAC; soft actor critic; local area network; Markov decision process; asynchronous advantage actor critic; robot operation system; deep Q network