This work presents Reinforcement Learning algorithms for controlling the Cable-Driven Parallel Robot (4 cables, underconstrained). The work evaluates DDPG, PPO and TRPO algorithms on a simple robot model, providing a solid foundation for future research and experiments on a real cable-suspended robot.

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