| # mx-DDPG |
| MXNet Implementation of DDPG |
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| # Introduction |
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| This is the MXNet implementation of [DDPG](https://arxiv.org/abs/1509.02971). It is tested in the rllab cart pole environment against rllab's native implementation and achieves comparably similar results. You can substitute with this anywhere you use rllab's DDPG with minor modifications. |
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| # Dependency |
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| * rllab |
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| # Usage |
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| To run the algorithm, |
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| ```python |
| python run.py |
| ``` |
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| The implementation relies on rllab for environments and logging and the hyperparameters could be set in ```run.py```. |
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| # References |
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| 1. [Lillicrap, Timothy P., et al. Continuous control with deep reinforcement learning. arXiv preprint arXiv:1509.02971 (2015)](https://arxiv.org/abs/1509.02971). |
| 2. rllab. URL: [https://github.com/openai/rllab](https://github.com/openai/rllab) |
