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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