Topic: "safe-rl"
PKU-Alignment/omnisafe
JMLR: OmniSafe is an infrastructural framework for accelerating SafeRL research.
Language: Python - Size: 52.7 MB - Last synced at: 4 days ago - Pushed at: 3 months ago - Stars: 957 - Forks: 135

liuzuxin/OSRL
🤖 Elegant implementations of offline safe RL algorithms in PyTorch
Language: Python - Size: 1.44 MB - Last synced at: 12 days ago - Pushed at: 9 months ago - Stars: 202 - Forks: 13

liuzuxin/FSRL
🚀 A fast safe reinforcement learning library in PyTorch
Language: Python - Size: 28.4 MB - Last synced at: 7 days ago - Pushed at: 8 months ago - Stars: 192 - Forks: 29

liuzuxin/DSRL
🔥 Datasets and env wrappers for offline safe reinforcement learning
Language: Python - Size: 6.79 MB - Last synced at: about 1 month ago - Pushed at: 9 months ago - Stars: 88 - Forks: 6

EzgiKorkmaz/generalization-reinforcement-learning
A Survey Analyzing Generalization in Deep Reinforcement Learning
Size: 5.86 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 29 - Forks: 0

labicon/POLICEd-RL
Official Code Repository for the POLICEd-RL Paper: https://www.roboticsproceedings.org/rss20/p104.html
Language: Python - Size: 86.5 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 11 - Forks: 0

ammarhydr/SAC-Lagrangian
PyTorch implementation of Constrained Reinforcement Learning for Soft Actor Critic Algorithm
Language: Python - Size: 10.7 KB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 8 - Forks: 5

MuvvalaKaran/CoRL
Correct-by-synthesis reinforcement learning with temporal logic constraints (CoRL)
Language: C - Size: 130 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 4 - Forks: 0

SafeRL-Lab/Safety-MuJoCo
Safety-MuJoCo Environments
Language: Python - Size: 6.04 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 2 - Forks: 0

ShiraWild/Generative-ShieldPPO
Generative-ShieldPPO
Language: Python - Size: 488 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

harwiltz/distributional-superiority
Author implementation of DSUP(q) algorithms from the NeurIPS 2024 paper "Action Gaps and Advantages in Continuous-Time Distributional Reinforcement Learning"
Language: Python - Size: 586 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

Safe-RL-Team/curriculum-learning
Blog Post about Curriculum Induction for Safe Reinforcement Learning
Language: JavaScript - Size: 2.98 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 1

Safe-RL-Team/curriculum-learning-poster
Poster about Curriculum Induction for Safe Reinforcement Learning
Language: TeX - Size: 1.6 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0
