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End-to-End Motion Planning of Quadrotors Using Deep Reinforcement Learning
The proposed method uses raw depth images obtained from a front-facing camera and directly generates local motion plans in the form of smooth motion primitives that move a... -
Generalization in Deep Reinforcement Learning for Robotic Navigation by Rewar...
A novel reward function for reinforcement learning and a Soft Actor-Critic algorithm to train a DRL policy in the context of local navigation for autonomous mobile robots in... -
Optimizing Deep Reinforcement Learning for Adaptive Robotic Arm Control
The dataset used in this paper for optimizing deep reinforcement learning for adaptive robotic arm control.
