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Obstacle avoidance and target acquisition using deep deterministic policy gradient (DDPG) algorithm
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Last Updated: October 4, 2026
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Summary
It works! About 80% of the time, after ~16 hours of training. This is another example of a position control This is an example of a position control This is simulation for training reach task of Fetch robot by Lecture 5 of a 6-lecture series on the Foundations of Deep RL Topic: Deep Deterministic ... in this way to work well with continuous actions is called deep deterministic Small sample of training progress on a simulated