Code for 'Dynamics-Aware Unsupervised Discovery of Skills' (DADS). Enables skill discovery without supervision, which can be combined with model-based control.
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Sep 9, 2021 - Python
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skill-discovery
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A Python package that provides a simple framework for working with Options in Reinforcement Learning.
options research reinforcement-learning rl hierarchical-reinforcement-learning university-of-bath skill-discovery hrl
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Nov 25, 2024 - Python
Official implementation of Zero-Hero paper
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Jul 25, 2024 - Python
"Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills" (ICML 2020)
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Feb 16, 2020 - Jupyter Notebook
[IJCAI 2024] Constrained Intrinsic Motivation for Reinforcement Learning
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Dec 4, 2024 - Python
Adaptation of original "Contrastive Intrinsic Control for Unsupervised Skill Discovery" implementation to OpenAI Gym
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Jun 14, 2022 - Python
Pytorch code for Hierarchical Latent Space Learning (HLSL)
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Aug 20, 2022 - Python
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