facebookresearch/mbrl-lib

Health v2 · maintenance only

Flags: archived

Adoption not part of the score

1064 stars · 173 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

MBRL-Lib is a PyTorch-based toolbox from Facebook Research for developing model-based reinforcement learning algorithms. It provides interchangeable modeling and planning components, utility functions, and reference implementations of PETS, MBPO, and PlaNet.

Use cases

• implement a model-based RL algorithm with minimal code
• run PETS on continuous control environments like cartpole
• experiment with interchangeable dynamics models and planners
• reproduce MBPO or PlaNet research results
• prototype planning-based RL agents in PyTorch

When to choose

• you want to develop or research model-based RL algorithms in Python
• you need ready-made implementations of PETS, MBPO, or PlaNet
• you want modular, swappable model and planning components built on PyTorch

When to avoid

• you need model-free RL algorithms like SAC or PPO
• you need production RL deployment rather than research prototyping
• you need a library with frequent updates and active maintenance

Facets

library · maturity maintenance

reinforcement-learning machine-learning simulation reinforcement-learning machine-learning python model-based-rl pytorch pets mbpo planet planning dynamics-models hydra algorithms

Member repositories

For agents

markdown · JSON · MCP: product_card(name="facebookresearch/mbrl-lib")