Official code for "Self-Distilled Agentic Reinforcement Learning"
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Updated
May 27, 2026 - Python
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opsd
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A PyTorch-based, end-to-end energy time-series forecasting demo with LSTM/GRU models, strong seasonal baselines, residual learning, and a CLI for reproducible train/eval runs on OPSD (with run logging + notebooks).
data-science machine-learning energy deep-learning time-series pytorch forcasting electricity-load-forecasting time-series-forecasting rnn-gru rnn-lstm experiment-tracking opsd
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Updated
Jan 6, 2026 - Jupyter Notebook
Official code for "Self-Distilled Agentic Reinforcement Learning"
-
Updated
Jun 6, 2026 - Python
Official code for "Self-Distilled Agentic Reinforcement Learning"
-
Updated
Jun 6, 2026 - Python
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