safety-gymnasium

pku-alignment/omnisafe954

Safe RL framework

A framework designed to accelerate the development of safe reinforcement learning algorithms by providing a modular, high-performance platform for parallel computing and out-of-box toolkits.

rll-research/url_benchmark335

RL Benchmark

A benchmark suite for unsupervised reinforcement learning agents, providing pre-trained models and scripts for testing and fine-tuning agent performance.

alex-petrenko/sample-factory839

RL library

A high-throughput reinforcement learning library with optimized synchronous and asynchronous implementations of policy gradients.

yg-smile/rl_vvc_dataset20

RL benchmarks

A collection of benchmarks and implementations for testing reinforcement learning-based Volt-VAR control algorithms

jjkke88/rl_toolbox43

RL Toolbox

A collection of reinforcement learning algorithms and tools for training agents in complex environments.

google-research/deep_ope85

RL benchmarks

Provides benchmarking policies and datasets for offline reinforcement learning

securitygames/oef3

Game RL toolkit

Provides tools and algorithms for developing reinforcement learning policies in game environments.

matthiasplappert/keras-rl8

RL framework

A Python library implementing state-of-the-art deep reinforcement learning algorithms for Keras and OpenAI Gym environments.

ys-zong/vlguard47

Safety fine-tuner

Improves safety and helpfulness of large language models by fine-tuning them using safety-critical tasks

rlworkgroup/garage1.9K

RL toolkit

A toolkit for developing and evaluating reinforcement learning algorithms in a reproducible manner

toni-sm/skrl588

RL library

A modular reinforcement learning library with support for various environments and frameworks

enlite-ai/maze266

RL Framework

An RL framework for building and training reinforcement learning models in Python

ucsc-vlaa/vllm-safety-benchmark72

Vision model safety test

A benchmark for evaluating the safety and robustness of vision language models against adversarial attacks.

utiasdsl/safe-control-gym645

Robotics toolkit

A set of tools and environments for learning-based control and reinforcement learning in robotics with symbolic safety constraints

sjtu-marl/malib507

RL framework

A framework for parallel population-based reinforcement learning