Stable Baselines3 Python Packages

auto-mdp-solver

Formalize a verbal dynamic-decision problem into an MDP, then train and interpret a deployable RL policy — as Claude Code skills with executable gates between stages

linkgym

A reinforcement learning (Gymnasium) environment for 5G NR link adaptation on NVIDIA Sionna, with 3GPP and ray-traced channels, classical baselines and a reproducible evaluation protocol.

remoterl

RemoteRL — zero-setup cloud service for reinforcement learning, anywhere and at any scale

deltatau-audit

Time Robustness Audit for RL agents — measures timing reliance, deployment robustness, and stress resilience

sb3-extra-buffers

[ :suspect:👾 ] ➡️ 💾 ➡️ { 🎮🕹️ } Extra Stable-Baselines3 buffer classes. Reducing RL memory usage drastically with minimal overhead.

pyrddlgym-rl

Wrappers for reinforcement learning algorithms (i.e. stable baselines 3, RLlib) to work with pyRDDLGym.

crosslearn

Reusable representation extractors for reinforcement learning across vectors, images, and Chronos-backed time-series windows.

atari-reinforcement-learning

Atari Reinforcement Learning with Stable-Baselines3 & RL Zoo

quant-drl-core

quant-drl-core is a modular and extensible framework for applying Deep Reinforcement Learning (DRL) techniques to portfolio management and financial decision-making. Built with flexibility and research in mind, it provides tools for data processing, environment simulation, agent training, and performance evaluation.

drone-2d-custom-gym-env

OpenAI Gym environment designed for training RL agents to control the flight of a two-dimensional drone.

single-cartpole-custom-gym-env

OpenAI Gym environment designed for training RL agents to bring CartPole upright and its further balancing.

double-cartpole-custom-gym-env

OpenAI Gym environment designed for training RL agents to balance double CartPole.

jsrl

Implementation of Jump-Start Reinforcement Learning (JSRL) with Stable Baselines3

ppofolio

ppo ensemble for multi-asset crypto portfolio allocation with pre-registered evaluation

rl-visualizer

Visualize reinforcement learning model action probabilities (values of state action pairs)

hill-climb-racing-env

A reinforcement learning Gymnasium environment for the game Hill Climb Racing including PPO-trained agents with various action and observation spaces