With the help of the self-learning ability delivered by the DRL algorithm, a robust adaptive control scheme is constructed for handling the challenge of parameter configuration difficulty in the ...
Deep Reinforcement Learning for mobile robot navigation in ROS2 Gazebo simulator. Using DRL neural network (TD3, SAC), a robot learns to navigate to a random goal point in a simulated environment ...
Attention based model for learning to solve the Pickup and Delivery Problem (PDP) using heterogeneous attention mechanism. Training with REINFORCE with greedy rollout baseline. For more details, ...
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