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kaymen99 authored Sep 21, 2023
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![anim](https://github.com/kaymen99/Robot-arm-control-with-RL/assets/83681204/224cf960-43d8-4bdc-83be-ac8fe37e5be9)

<p align="justify">This project focuses on controlling a 7 DOF robot arm provided in the [pandas_gym](https://github.com/qgallouedec/panda-gym) Reacher environment using two continuous reinforcement learning algorithms: DDPG (Deep Deterministic Policy Gradients) and TD3 (Twin Delayed Deep Deterministic Policy Gradients). The technique of Hindsight Experience Replay is used to enhance the learning process of both algorithms.</p>
This project focuses on controlling a 7 DOF robot arm provided in the [pandas_gym](https://github.com/qgallouedec/panda-gym) Reacher environment using two continuous reinforcement learning algorithms: DDPG (Deep Deterministic Policy Gradients) and TD3 (Twin Delayed Deep Deterministic Policy Gradients). The technique of Hindsight Experience Replay is used to enhance the learning process of both algorithms.

## Continuous RL Algorithms

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