google-deepmind/acme

Health v2 · maintenance only

Adoption not part of the score

4050 stars · 550 forks observed · 2026-08-28

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

Acme is a Python library of reinforcement learning building blocks and agent implementations from DeepMind. It provides readable reference agents and flexible components that scale from single-stream to distributed training.

Use cases

• implement reinforcement learning agents in python
• run distributed RL training experiments
• get reference implementations of RL algorithms
• build novel RL research on reusable components
• benchmark RL algorithm baselines
• train agents in gym and other environments

When to choose

• you are doing RL research and want strong, flexible baseline agents
• you need reference implementations of RL algorithms
• you want agents that scale from single-machine to distributed setups

When to avoid

• you need a production-ready, turnkey RL product rather than a research framework
• you want a beginner-friendly tutorial library with guaranteed API stability
• you are not working in Python

Facets

library · maturity active

reinforcement-learning machine-learning agent-framework reinforcement-learning machine-learning python rl-agents research-framework distributed-rl deepmind research linux macos

Member repositories

For agents

markdown · JSON · MCP: product_card(name="google-deepmind/acme")