Sac Python Packages

tianshou

An elegant PyTorch deep reinforcement learning library.

hinetpy

A Python package for accessing and processing NIED Hi-net seismic data.

actorch

Deep reinforcement learning framework for fast prototyping based on PyTorch

autonomous-learning-library

A PyTorch library for building deep reinforcement learning agents.

elegantrl

Massively Parallel Deep Reinforcement Learning. 🔥

mushroom-rl

Python library for Reinforcement Learning.

evorl-jax

EvoRL is a fully GPU-accelerated framework for Evolutionary Reinforcement Learning, implemented with JAX. It supports Reinforcement Learning (RL), Evolutionary Computation (EC), Evolution-guided Reinforcement Learning (ERL), AutoRL, and seamless integration with GPU-optimized simulation environments.

rl-toolkit

RL-Toolkit: A Research Framework for Robotics

rllib

A simple and neat implementation of reinforcement learning algorithms.

rainy

:umbrella: Deep RL agents with PyTorch:umbrella:

decisionrl

Reinforcement learning for operational decisions — pricing, inventory, energy, queues, supply chains. 32 algorithms, typed, tested.

machin

Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...

xpag

a modular reinforcement learning library with JAX agents

lynnx

Deep reinforcement learning algorithms and environments, written completely in JAX + Flax NNX for end-to-end GPU-accelerated training.

dopamax

Reinforcement learning in pure JAX.

fast-safe-rl

🚀 A fast safe reinforcement learning library in PyTorch

rlens

An observability-first reinforcement-learning training & benchmarking library, built on PyTorch and Gymnasium.

wacky-rl

Custom Reinforcement Learning Agents

ph5

Library of PH5 clients, apis, and utilities

wacky-envs

Custom Reinforcement Learning Agents