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the-traders-trinity-checkpoints

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Upload RL checkpoints (DQN/Rainbow/PPO/IQL/threshold × DK1/DK2 × R1–R6)

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  1. rl/README.md +36 -0
  2. rl/dqn_consumption_dk1.pt +3 -0
  3. rl/dqn_consumption_dk1_r1.pt +3 -0
  4. rl/dqn_consumption_dk1_r2.pt +3 -0
  5. rl/dqn_consumption_dk1_r3.pt +3 -0
  6. rl/dqn_consumption_dk1_r4.pt +3 -0
  7. rl/dqn_consumption_dk1_r5.pt +3 -0
  8. rl/dqn_consumption_dk1_r6.pt +3 -0
  9. rl/dqn_consumption_dk2.pt +3 -0
  10. rl/dqn_consumption_dk2_r1.pt +3 -0
  11. rl/dqn_consumption_dk2_r2.pt +3 -0
  12. rl/dqn_consumption_dk2_r3.pt +3 -0
  13. rl/dqn_consumption_dk2_r4.pt +3 -0
  14. rl/dqn_consumption_dk2_r5.pt +3 -0
  15. rl/dqn_consumption_dk2_r6.pt +3 -0
  16. rl/dqn_dk1.pt +3 -0
  17. rl/dqn_dk1_r1.pt +3 -0
  18. rl/dqn_dk1_r2.pt +3 -0
  19. rl/dqn_dk1_r3.pt +3 -0
  20. rl/dqn_dk1_r4.pt +3 -0
  21. rl/dqn_dk1_r5.pt +3 -0
  22. rl/dqn_dk1_r6.pt +3 -0
  23. rl/dqn_dk2.pt +3 -0
  24. rl/dqn_dk2_r1.pt +3 -0
  25. rl/dqn_dk2_r2.pt +3 -0
  26. rl/dqn_dk2_r3.pt +3 -0
  27. rl/dqn_dk2_r4.pt +3 -0
  28. rl/dqn_dk2_r5.pt +3 -0
  29. rl/dqn_dk2_r6.pt +3 -0
  30. rl/iql_dk1.pt +3 -0
  31. rl/iql_dk1_r1.pt +3 -0
  32. rl/iql_dk1_r2.pt +3 -0
  33. rl/iql_dk1_r3.pt +3 -0
  34. rl/iql_dk1_r4.pt +3 -0
  35. rl/iql_dk1_r5.pt +3 -0
  36. rl/iql_dk1_r6.pt +3 -0
  37. rl/iql_dk2.pt +3 -0
  38. rl/iql_dk2_r1.pt +3 -0
  39. rl/iql_dk2_r2.pt +3 -0
  40. rl/iql_dk2_r3.pt +3 -0
  41. rl/iql_dk2_r4.pt +3 -0
  42. rl/iql_dk2_r5.pt +3 -0
  43. rl/iql_dk2_r6.pt +3 -0
  44. rl/ppo_dk1.pt +3 -0
  45. rl/ppo_dk1_r1.pt +3 -0
  46. rl/ppo_dk1_r2.pt +3 -0
  47. rl/ppo_dk1_r3.pt +3 -0
  48. rl/ppo_dk1_r4.pt +3 -0
  49. rl/ppo_dk1_r5.pt +3 -0
  50. rl/ppo_dk1_r6.pt +3 -0
rl/README.md ADDED
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+ # RL trading checkpoints
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+
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+ PyTorch state dicts for the RL trading agents benchmarked in *The Trader's
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+ Trinity* — day-ahead discrete trading (buy/flat/sell) and Danfoss consumption
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+ optimisation on DK1/DK2 across six expanding-window rounds (R1–R6).
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+
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+ ## Layout
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+
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+ ```
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+ rl/
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+ <agent>_<zone>_r<round>.pt # per-round agent weights
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+ <agent>_<zone>.pt # final (latest round) convenience copy
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+ dqn_consumption_<zone>_r<round>.pt # consumption-optimisation variant
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+ threshold_<zone>.pt # baseline threshold policy state
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+ ```
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+
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+ Agents: ``dqn``, ``rainbow``, ``ppo``, ``iql``, ``threshold``. Zones: ``dk1``,
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+ ``dk2``. Rounds: ``r1``–``r6`` (expanding window, see the repo CLAUDE.md for the
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+ train/val/test split per round).
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+
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+ ## Usage
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+
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+ ```python
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+ from huggingface_hub import hf_hub_download
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+ import torch
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+
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+ ckpt = hf_hub_download(
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+ repo_id="Phongsakon/the-traders-trinity-checkpoints",
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+ filename="rl/ppo_dk1_r6.pt",
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+ )
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+ state = torch.load(ckpt, map_location="cpu")
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+ ```
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+
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+ Architecture constructors and environment wrappers live in
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+ [phomarkon/the-traders-trinity](https://github.com/phomarkon/the-traders-trinity)
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+ under ``research/rl/agents`` and ``research/rl/envs``.
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