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099bec8 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 | Meta PyTorch OpenEnv Hackathon | Resources & Materials Resources & Materials Official hackathon resources for all finalists. Use these to build, train, and iterate. 1. OpenEnv Core An interface library for RL post-training with environments. * GitHub: https://github.com/meta-pytorch/OpenEnv * Docs: https://meta-pytorch.org/OpenEnv/ 2. HuggingFace OpenEnv Hub * Environments: https://huggingface.co/openenv * Spaces: https://huggingface.co/openenv/spaces 3. Tutorials Build, run, and train RL environments and training pipelines. * All Tutorials: https://github.com/meta-pytorch/OpenEnv/tree/main/tutorial * Training Examples: https://github.com/meta-pytorch/OpenEnv/tree/main/tutorial/examples * Environment Examples: https://github.com/meta-pytorch/OpenEnv/tree/main/envs 4. YouTube: Building RL Environments * https://www.youtube.com/watch?v=0airz7BhBiA * https://www.youtube.com/watch?v=ap4q4sAK4OY * https://www.youtube.com/watch?v=Jew4lhAiqnw * https://www.youtube.com/live/kkCNMz0Ptd8?si=JJ7og8x5qc7_Gi0e * https://www.youtube.com/watch?v=Jew4lhAiqnw 5. Research Papers: Reward Engineering * https://arxiv.org/abs/2408.10215 * https://arxiv.org/abs/2601.19100 Tip: Chat with these papers using LLMs for quick insights on engineering rewards. Scaler School of Technology | scaler.com/school-of-technology/meta-pytorch-hackathon |