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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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Environment repositories using the framework:
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* **`Isaac Lab`** (built on top of NVIDIA Isaac Sim): https://github.com/isaac-sim/IsaacLab
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* **`Legged-Gym`** (built on top of NVIDIA Isaac Gym): https://leggedrobotics.github.io/legged_gym/
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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) - 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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We welcome contributions from the community. Please check our contribution guidelines for more
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information.
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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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**Contact**: [email protected]
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Environment repositories using the framework:
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* `Isaac Lab` (built on top of NVIDIA Isaac Sim): https://github.com/isaac-sim/IsaacLab
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* `Legged-Gym` (built on top of NVIDIA Isaac Gym): https://leggedrobotics.github.io/legged_gym/
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We welcome contributions from the community. Please check our contribution guidelines for more
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information.
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> **Note:** The `algorithms` branch supports additional algorithms (SAC, DDPG, DSAC, and more). However, it isn't currently actively maintained.
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