D3DWA: Adaptive Weight and Prediction-Horizon for Dynamic Window Approach via Dueling Double Deep Q-Network
Multibody/Robotics
Proposes D3DWA, an adaptive DWA framework using Dueling Double Deep Q-Network to adjust weights and prediction horizon for improved robot navigation in varied environments.
See LICENSE file robot navigationdeep reinforcement learningpath planning