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crosslearn

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

remoterl

RemoteRL: high-performance command-line & Python client with pre-compiled native wheels for remote reinforcement-learning workloads.

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.

hill-climb-racing-env

A Gymnasium reinforcement learning environment for Hill Climb Racing

atari-reinforcement-learning

Atari Reinforcement Learning with Stable-Baselines3 & RL Zoo

single-cartpole-custom-gym-env

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

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.

double-cartpole-custom-gym-env

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

drone-2d-custom-gym-env

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

jsrl

Implementation of Jump-Start Reinforcement Learning with Stable Baselines3.

rl-visualizer

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