Reinforcement Learning Evolution Foundation

All

5 repositories

RLeXplore
Public
RLeXplore provides stable baselines of exploration methods in reinforcement learning, such as intrinsic curiosity module (ICM), random network distillation (RND) and rewarding impact-driven exploration (RIDE).
machine-learning reinforcement-learning robotics pytorch toolbox gym efficient-algorithm pybullet baselines exploration-strategy
Jupyter Notebook
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MIT License
•16•373•19•0•Updated Oct 15, 2024Oct 15, 2024
rllte
Public
Long-Term Evolution Project of Reinforcement Learning
machine-learning reinforcement-learning deep-learning robotics gym benchmark-framework augmentation procgen long-term-project pybullet
Python
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MIT License
•86•468•13•6•Updated Aug 26, 2024Aug 26, 2024
rllte-hub
Public
Large-Scale and Comprehensive Data Hub for Reinforcement Learning
benchmark robotics datasets data-hub pre-training offline-reinforcement-learning reinforcement-learning
Python
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MIT License
•2•2•0•1•Updated Oct 31, 2023Oct 31, 2023
rllte-copilot
Public
Large language model (LLM)-empowered copilot for RL.
Python
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MIT License
•2•4•0•0•Updated Oct 11, 2023Oct 11, 2023
rllte-wandb
Public
Link to wandb.
HTML
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MIT License
•0•0•0•0•Updated Oct 11, 2023Oct 11, 2023