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Adds minor description of the new features
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README.md

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Fast and simple implementation of RL algorithms, designed to run fully on GPU.
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This code is an evolution of `rl-pytorch` provided with NVIDIA's Isaac GYM.
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The main branch supports PPO with additional features from our work.
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The main branch supports PPO with additional features from our research.
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These include:
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* [Random Network Distillation (RND)](https://proceedings.mlr.press/v229/schwarke23a.html)
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* [Symmetry-based Augmentation](https://arxiv.org/abs/2403.04359)
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* [Random Network Distillation (RND)](https://proceedings.mlr.press/v229/schwarke23a.html) - Encourages exploration by adding
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a curiosity driven intrinsic reward.
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* [Symmetry-based Augmentation](https://arxiv.org/abs/2403.04359) - Makes the learned behaviors more symmetrical.
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**Maintainer**: Mayank Mittal and Clemens Schwarke <br/>
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**Affiliation**: Robotic Systems Lab, ETH Zurich & NVIDIA <br/>

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