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Abstract: Wireless sensor networks (WSNs) monitor dynamic environments that change rapidly over time. This dynamic behavior is either caused by external factors or initiated by the system designers ...

Supervised fine-tuning teaches a model from example outputs. Reinforcement learning (RL) teaches from *rewards* -- the model generates its own outputs, and a reward function scores them. The model ...

Configure and run a full RL pipeline using the cookbook's RL abstractions with `RLDatasetBuilder`. In tutorials 05-06 you wrote RL loops manually. The cookbook also provides `rl.train.Config` + ...

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