Shypd.aiThe largest open index of AI toolsrllab is an open-source framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym. It provides implementations of various continuous control tasks and algorithms.
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rllab is an open-source framework designed for the development and evaluation of reinforcement learning (RL) algorithms. It offers a comprehensive suite of tools and implementations for a wide range of continuous control tasks, along with several key RL algorithms such as REINFORCE, TRPO, and DDPG. The framework is fully compatible with OpenAI Gym, making it a robust platform for researchers and developers in the RL domain. While rllab itself is no longer under active development, its codebase has been adopted and is actively maintained under the name garage, which offers updated features like TensorFlow support, TensorBoard integration, and new algorithms like PPO.
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