Model Based Rl Python Packages

hypercube-worldmodel

World model on a Boolean hypercube: frozen reservoir encoders and a locally connected predictor that learns how the latent code moves under an action. C++20, no dependencies.

raylab

Reinforcement learning algorithms in RLlib

baconian

Model-based Reinforcement Learning Framework

clap-family

Conservative Lapse-Action Planning (CLAP): a variational access-and-dwell framework for safe AI optimization. Surf the conservative-lapse field to the best safe basin and dwell there — theorem-backed, pip-installable, with differentiable PyTorch training adapters.

blackbox-mpc

Sampling based Model Predictive Control package for Model-Based RL research

efficient-rl

Reimplementation of "An Object-Oriented Representation for Efficient RL"

pythonlinearnonlinearcontrol

PythonLinearNonLinearControl is a library implementing the linear and nonlinear control theories in python.