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doc: rephrasing goals to indicate past tense rather than future tense
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simojo committed Apr 26, 2024
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Expand Up @@ -37,13 +37,13 @@ Spring 2024
This project aims to train the COEX Clover quadcopter equipped with an array of
Time of Flight (ToF) sensors to perform basic navigation and obstacle avoidance
in randomized scenarios using a Deep Deterministic Policy Gradient (DDPG)
reinforcement learning algorithm. Using randomized environments will test the
reinforcement learning algorithm. Using randomized environments tests the
effectiveness of curriculum learning for reinforcement learning and the overall
strengths and weaknesses of DDPG for quadcopter control. By training the
quadcopter to explore randomized environments, this can also demonstrate how
using simpler, more economically affordable sensors can enable a quadcopter to
fly in a GPS-denied environment without the use of LiDAR, which is typically an
order of magnitude more expensive.
quadcopter to explore randomized environments, this also demonstrates how using
simpler, more economically affordable sensors could potentially enable a
quadcopter to fly in a GPS-denied environment without the use of LiDAR, which is
typically an order of magnitude more expensive.

## Quick Start

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