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A ROS2-based reinforcement learning framework implementing the Twin Delayed Deep Deterministic Policy Gradient (TD3) algorithm for mobile robot navigation and sim-to-sim/sim-to-real transfer.
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This project is a standard implementation of a common reinforcement learning algorithm (TD3) applied to a classic robotics problem (navigation) within the ROS2 ecosystem. With only 1 star and no forks, it currently functions as a personal experiment or reference implementation rather than a defensible tool or community-driven project.
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