brnbq22/path-planning-sac
A reinforcement learning project implementing the Soft Actor-Critic (SAC) algorithm from scratch in MATLAB for optimal path planning. The agent learns to navigate from a start point to a target location while avoiding obstacles in a 2D environment using Lidar-based perception.
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