rlds

rlworkgroup/garage1.9K

RL toolkit

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

google-research/deep_ope85

RL benchmarks

Provides benchmarking policies and datasets for offline reinforcement learning

rle-foundation/rlexplore373

RL toolkit

Provides a unified toolkit for constructing, computing, and optimizing intrinsic reward modules in reinforcement learning

conglu1997/v-d4rl94

Offline RL datasets

Provides pre-built datasets and code for offline reinforcement learning from visual observations using deep learning algorithms

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.

yg-smile/rl_vvc_dataset20

RL benchmarks

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

rr-learning/trifinger_rl_datasets17

Robotics datasets

A collection of robotics datasets and simulated environments for training reinforcement learning algorithms on real robot hardware

aunum/gold345

RL library

A reinforcement learning library for Go, providing a set of agents to solve challenges in various environments.

google-deepmind/rlax1.3K

RL builder

A Python library providing reinforcement learning building blocks for implementing agent policies and functions

jjkke88/rl_toolbox43

RL Toolbox

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

rl-tools/rl-tools680

RL framework

An open-source C++ library for training reinforcement learning policies and controlling continuous-control environments.

jhashanti/machine-learning-with-r9

ML toolkit

A comprehensive R package providing tools and techniques for building machine learning models in supervised learning.

rlworkgroup/dowel32

ML tracker

A tool for logging and tracking machine learning research progress in Python

denisyarats/exorl105

Offline RL toolkit

Provides exploratory data and algorithms for offline reinforcement learning in various control domains

luchris429/purejaxrl755

RL framework

A high-performance implementation of reinforcement learning training pipelines using JAX and PyTorch-like functionality