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README.md

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# RSL RL
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# RSL-RL
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A 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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A fast and simple implementation of learning algorithms for robotics. For an overview of the library please have a look at https://arxiv.org/pdf/2509.10771.
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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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* **`Legged Gym`** (built on top of NVIDIA Isaac Gym): https://leggedrobotics.github.io/legged_gym/
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* **`MuJoCo Playground`** (built on top of MuJoCo MJX and Warp): https://github.com/google-deepmind/mujoco_playground/
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The main branch supports **PPO** and **Student-Teacher Distillation** with additional features from our research. These include:
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The library currently supports **PPO** and **Student-Teacher Distillation** with additional features from our research. 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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**Affiliation**: Robotic Systems Lab, ETH Zurich & NVIDIA <br/>
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**Contact**: [email protected]
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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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## Setup
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