Stable Baselines3 Python Packages

crosslearn

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

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

atari-reinforcement-learning

A streamlined setup for training and evaluating reinforcement learning agents on Atari 2600 games.

sb3-extra-buffers

Extra buffer classes for Stable-Baselines3, reduce memory usage with minimal overhead.

pyrddlgym-rl

pyRDDLGym-rl: Wrappers for reinforcement learning algorithms (i.e. stable baselines 3) to work with pyRDDLGym.

quant-drl-core

Deep Reinforcement Learning for Financial Portfolio Management

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.

rl-visualizer

A package for visualizing action probabilities, entropy, and rewards in reinforcement learning models.

jsrl

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

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