Shypd.aiThe largest open index of AI toolskeras-rl is an AI Frameworks & Infra tool that implements deep reinforcement learning algorithms for Keras. It seamlessly integrates with the Keras deep learning library and OpenAI Gym.
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keras-rl provides a robust framework for deep reinforcement learning (DRL) algorithms, designed to integrate smoothly with the Keras deep learning library. It supports various state-of-the-art DRL algorithms including Deep Q Learning (DQN), Double DQN, Deep Deterministic Policy Gradient (DDPG), and Proximal Policy Optimization Algorithms (PPO). The tool works out-of-the-box with OpenAI Gym, simplifying the evaluation and experimentation with different algorithms. Users can extend keras-rl to fit their needs, utilizing built-in Keras callbacks and metrics or defining their own. It also facilitates the implementation of custom environments and algorithms through simple abstract classes, making it a flexible solution for researchers and engineers.
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