Official Implementation for the paper "SR-AIF: Solving Sparse-Reward Robotic Tasks from Pixels with Active Inference and World Models"
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Updated
Mar 12, 2025 - Python
Content-Length: 211337 | pFad | http://github.com/topics/sparse-reward
00Official Implementation for the paper "SR-AIF: Solving Sparse-Reward Robotic Tasks from Pixels with Active Inference and World Models"
Official PyTorch Implementation for Metric Residual Networks for Sample Efficient Goal-Conditioned Reinforcement Learning
Sparse environment for MuJoCo suite (v2 and v3)
This repo empirically investigates that Weight Agnostic Neural Networks (WANN) are a promising alternative to traditional RL models in sparse settings.
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