tensorforce/tensorforce

Health v2 · maintenance only

Adoption not part of the score

3305 stars · 523 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Tensorforce is an open-source deep reinforcement learning framework built on TensorFlow, emphasizing modular, configurable library design for research and applied RL. It separates RL algorithms from application environments and implements full models in TensorFlow computation graphs.

Use cases

• train deep reinforcement learning agents in python
• apply RL to control and decision-making problems
• build modular configurable RL algorithms on tensorflow
• deploy trained RL policies as portable tensorflow graphs
• experiment with policy gradient and q-learning algorithms

When to choose

• you need a flexible, modular RL library on TensorFlow
• you want algorithm-agnostic interfaces for custom environments
• you need portable TensorFlow-based RL models for deployment

When to avoid

• you need an actively maintained library - the project is no longer maintained
• you prefer PyTorch-based RL frameworks
• you need the latest RL research algorithms

Facets

library · maturity abandoned

machine-learning reinforcement-learning deep-learning reinforcement-learning machine-learning deep-learning python tensorflow deep-reinforcement-learning rl-library control unmaintained

Member repositories

For agents

markdown · JSON · MCP: product_card(name="tensorforce/tensorforce")