keras-rl/keras-rl

Health v2 · maintenance only

Adoption not part of the score

5547 stars · 1344 forks observed · 2026-08-28

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

A Python library implementing state-of-the-art deep reinforcement learning algorithms (DQN, DDPG, SARSA, and more) that integrates seamlessly with Keras and works out of the box with OpenAI Gym environments. It allows easy extension of agents and environments via simple abstract classes.

Use cases

• train a DQN agent on an OpenAI Gym environment
• implement deep reinforcement learning with Keras
• experiment with DDPG for continuous control tasks
• learn reinforcement learning algorithms with runnable examples
• build custom RL agents and environments in Python

When to choose

• you want ready-made deep RL algorithms integrated with Keras
• you are prototyping RL agents against OpenAI Gym environments
• you need a simple, extensible codebase for learning or research in deep RL

When to avoid

• you need cutting-edge algorithms like PPO or A3C, which are not implemented
• you require actively maintained support for the latest TensorFlow/Keras versions
• you need high-performance, production-scale RL training

Facets

library · maturity maintenance

machine-learning reinforcement-learning deep-learning reinforcement-learning machine-learning deep-learning python keras tensorflow openai-gym dqn ddpg reinforcement-learning-algorithms

Member repositories

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markdown · JSON · MCP: product_card(name="keras-rl/keras-rl")