AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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The project studies whether training an agent across randomized environment physics can improve its performance on previously unseen conditions compared with training under fixed physics. It uses the LunarLander-v3 environment and Proximal Policy Optimization (PPO), alongside a custom PyTorch actor–critic implementatio...
Protein language models learn contextual representations from large sequence collections, but theirpractical advantage over simple sequence-pattern features depends on the task and the evaluationsetting. This exploratory study compares frozen representations from the 8-million-parameterESM-2 model (facebook/esm2_t6_8M_...
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