Policy Gradient Python Packages

tianshou

An elegant PyTorch deep reinforcement learning library.

pyrddlgym-jax

JAX compilation of RDDL description files, and a differentiable planner in JAX.

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.

deer

DEEp Reinforcement learning framework

yarll

Combining deep learning and reinforcement learning.

reinforcement-learning-keras

Reinforcement learning algorithms implemented in Keras (tensorflow==2.3) and sklearn

polgrad

Reference semantics, conformance testing, and pathology diagnostics for LLM policy-gradient post-training

nes-torch

Minimal PyTorch Library for Natural Evolution Strategies

wacky-rl

Custom Reinforcement Learning Agents

pytorch-policy

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

pepg-es

Python Implementation of Parameter-exploring Policy Gradients Evolution Strategy

wacky-envs

Custom Reinforcement Learning Agents

deepqrl

DEEp Reinforcement learning framework