Add AlphaTransit checkpoints

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LICENSE

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+MIT License
+
+Copyright (c) 2023
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

README.md

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 ---
 license: mit
+library_name: pytorch
+tags:
+- pytorch
+- torch-geometric
+- graph-neural-network
+- reinforcement-learning
+- transportation
+- transit
+- trndp
+datasets:
+- matrix-multiply/bloomington-tndp
+arxiv: 2605.28730
 ---
+
+# AlphaTransit Checkpoints
+
+PyTorch checkpoints for **AlphaTransit: Learning to Design City-scale Transit Routes**.
+
+## Files
+
+| File | Setting | Bloomington service rate |
+| --- | --- | ---: |
+| `checkpoints/alphatransit_alpha0.3_best.pth` | `alpha=0.3`, `n_iter=500` | 54.64% |
+| `checkpoints/alphatransit_alpha1.0_best.pth` | `alpha=1.0`, `n_iter=500` | 82.08% |
+
+`model_kwargs.json` and `checkpoint_manifest.json` provide checkpoint metadata.
+
+## Download
+
+```python
+from huggingface_hub import hf_hub_download
+
+path = hf_hub_download(
+    repo_id="matrix-multiply/alphatransit-checkpoints",
+    filename="checkpoints/alphatransit_alpha0.3_best.pth",
+)
+```
+
+## Links
+
+- Paper: https://huggingface.co/papers/2605.28730
+- Code: https://github.com/poudel-bibek/AlphaTransit
+- Dataset: https://huggingface.co/datasets/matrix-multiply/bloomington-tndp
+- Research preview: https://alphatransit.app/

checkpoint_manifest.json

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+{
+  "repo_id": "matrix-multiply/alphatransit-checkpoints",
+  "paper": "https://huggingface.co/papers/2605.28730",
+  "source_code": "https://github.com/poudel-bibek/AlphaTransit",
+  "source_commit": "1965051a6c883c5a55c423bdbb041e3f5934f479",
+  "dataset": "matrix-multiply/bloomington-tndp",
+  "notes": "Curated AlphaTransit policies for the main paper comparison. These checkpoints use n_iter=500 and are raw PyTorch state_dict files requiring the AlphaTransit source code to instantiate rl.models.GATV2ActorCritic.",
+  "checkpoints": [
+    {
+      "file": "checkpoints/alphatransit_alpha0.3_best.pth",
+      "algorithm": "alphatransit",
+      "method": "AlphaTransit",
+      "alpha": 0.3,
+      "source_identifier": "n_iter=500",
+      "bloomington_service_rate_10_seed_mean_percent": 54.64,
+      "size_bytes": 2739987,
+      "sha256": "129779ad7e7de77bd760cf6c6bacd0335283b2654eb1a2a97583d91a1b533093"
+    },
+    {
+      "file": "checkpoints/alphatransit_alpha1.0_best.pth",
+      "algorithm": "alphatransit",
+      "method": "AlphaTransit",
+      "alpha": 1.0,
+      "source_identifier": "n_iter=500",
+      "bloomington_service_rate_10_seed_mean_percent": 82.08,
+      "size_bytes": 2739987,
+      "sha256": "ae0e7d3180cd17ac0d06c2f8e0aee5a1fac96e485aa3a77a7e6114cf1da31c00"
+    }
+  ]
+}

checkpoints/alphatransit_alpha0.3_best.pth

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checkpoints/alphatransit_alpha1.0_best.pth

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model_kwargs.json

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+{
+  "model_class": "rl.models.GATV2ActorCritic",
+  "format": "raw PyTorch state_dict",
+  "n_node_features": 16,
+  "n_edge_features": 2,
+  "proj_out": 64,
+  "num_gat_blocks": 4,
+  "gat_channels": [
+    128,
+    128,
+    64,
+    64
+  ],
+  "num_heads": [
+    8,
+    8,
+    4,
+    4
+  ],
+  "concat": false,
+  "activation": "tanh",
+  "attn_dropout": [
+    0.0,
+    0.0,
+    0.0,
+    0.0
+  ],
+  "feat_dropout": [
+    0.0,
+    0.0,
+    0.0,
+    0.0
+  ],
+  "actor_head_dropout": 0.0,
+  "critic_head_dropout": 0.0,
+  "actor_head_layers": [
+    256,
+    128,
+    64
+  ],
+  "critic_head_layers": [
+    256,
+    128,
+    64
+  ],
+  "critic_readout_type": "sum"
+}