Multi-GPU Reinforcement Learning in Tensorflow for OpenAI Gym
Multi-GPU reinforcement learning using Deep Q-Network in TensorFlow for OpenAI Gym - vishar0/dist-dqn
Multi-GPU Reinforcement Learning in Tensorflow for OpenAI Gym launched on July 14, 2016 with 58 votes, #1,172 of 3,671 launches that month and more than 90% of that year's launches. The site was still online in September 2026, 10 years on.
In plain words
Multi-GPU Reinforcement Learning in Tensorflow for OpenAI Gym is a software toolkit that enables reinforcement learning experiments across multiple GPUs using TensorFlow. It is designed for researchers and developers working with OpenAI Gym environments who need to scale their machine learning computations. The project leverages parallel GPU processing to accelerate training of reinforcement learning models, making it suitable for computationally intensive AI research and development.
written from the facts on this page · September 2026
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