Offline Rl Python Packages

minari

A standard format for offline reinforcement learning datasets, with popular reference datasets and related utilities

d3rlpy

An offline deep reinforcement learning library

game-learning-runtime

Agent-first, learner-neutral runtime for interface-driven game training and evaluation.

sail-leakage

SAIL: detect state-action information leakage in offline reinforcement learning for sepsis — construction, reconstruction, temporal overlap, timing and persistence checks.

di-engine

OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.

causal-gpt-rl

Inference runtime for Causal GPT-RL policy bundles: decoder-only autoregressive transformers as RL agents.

dsrl

🔥 Datasets and env wrappers for offline safe reinforcement learning

ehr2rl

Convert MIMIC-IV EHR data into offline reinforcement learning datasets for healthcare research.

scope-rl

SCOPE-RL: A python library for offline reinforcement learning, off-policy evaluation, and selection

minerva-ui

An out-of-the-box GUI tool for offline deep reinforcement learning

generativerl

Python library for solving reinforcement learning (RL) problems using generative models (e.g. Diffusion Models).

osrl-lib

🤖 Elegant implementations of offline safe RL algorithms in PyTorch

rlbidder

Reinforcement learning auto-bidding library for research and production.

medkit-learn

The Medkit-Learn(ing) Environment: Medical Decision Modelling through Simulation (NeurIPS 2021) by Alex J. Chan, Ioana Bica, Alihan Huyuk, Daniel Jarrett, and Mihaela van der Schaar.

zjkdemo3

An offline deep reinforcement learning library

zjkdemo2

An offline deep reinforcement learning library

zjkdemo

An offline deep reinforcement learning library