1 Repo
Awesome GitHub RepositoriesGlobal Network Synchronization
Mechanisms for synchronizing weights and gradients across a distributed network of learning agents.
Distinct from Global Database Synchronization: The candidates refer to networking hardware addresses or database state, not neural network parameter synchronization in RL.
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Awesome Global Network Synchronization GitHub Repositories
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- morvanzhou/reinforcement-learning-with-tensorflow
MorvanZhou/Reinforcement-learning-with-tensorflow
9,464Auf GitHub ansehenThis project is an educational repository of reinforcement learning agents and tutorials implemented using TensorFlow. It provides a practical codebase for both model-free and model-based learning agents, designed to demonstrate how AI agents learn through trial and error. The collection features detailed implementations of various algorithmic approaches, including Deep Q-Networks and Policy Gradient methods. It specifically covers Actor-Critic architectures for continuous and discrete action spaces, alongside Proximal Policy Optimization and Deep Deterministic Policy Gradients. The framewor
Implements the synchronization of a global network using gradients from multiple parallel local workers.
Pythona3cactor-criticasynchronous-advantage-actor-critic
