4 accepted papers
Deep reinforcement learning has significant advantages in the field of robot skill learning, however it usually cannot make good use of experience. In this letter, a Bi-phase Episodic Memory Guided (BEMG) method for speeding up the learning process of DRL and solving the problem of sparse reward is
This letter presents a robotic episodic cognitive learning framework based on the biological cognitive mechanism of hippocampal spatial cells. By emphasizing the cognition process and episodic memory in brain, the framework adopts the velocity modulated grid cells and place cells to afford the robot
In arc welding processes, real time control algorithms have to be developed in order to achieve desired weld quality. However, there could exist big uncertainties and noise in the process, which nullifies the conventional online control method. Besides, due to the modelling difficulty and low experi…
This paper proposes a framework called Episodic memory-driving Markov decision processes (EM-MDPs) for incremental self-learning of robotic experience and cognitive behavior control under uncertainty. The framework simulates the organization process of episodic memory by introducing the neuron stimu…