First release, 0.1.0

(well, a pre-release actually :)

What is Bellman?

Bellman is a package for model-based reinforcement learning (MBRL) in Python, using TensorFlow 2.4+ and building on top of model-free reinforcement learning package TensorFlow Agents.

Main features

• A framework for flexible composition of model-based reinforcement learning algorithms.
• It offers modular components for composing two major classes of algorithms:
  1. decision time planning
  2. background planning
• Keras neural networks for modeling transition dynamics
• Rewards, termination and initial state distributions are assumed to be known for now
• Implementations of several state-of-the-art model-based algorithms (PETS, MBPO and METRPO) and one model-free algorithm (TRPO)