This repository contains the official trained policies for The files are organized by task environment and training seed: The play.py script in the JoSE repository downloads a pretrained model and executes it in the corresponding environment, allowing agent behaviour to be visualized. The script is called from the repo root as follows: Seeds vary by hand and task. See the HuggingFace model directory to see which seeds are available for each task-hand combination.
Open-weight model · Reinforcement learning
bughouse-twin-s-clock
by Benjamin Woo aminwoo/bughouse-twin-s-clock
bughouse-twin-s-clock is an open-weight model for reinforcement learning from Benjamin Woo, released under MIT License. Its published files total 42.2 MB.
Networks for Hivemind, a UCI engine for Bughouse chess, trained to play on real clocks. The TwinBoard-S networks learned bughouse with a single time-advantage bit: one team may sit (wait instead of moving) for the whole game.
Parameters—
Context—
Weights42.2 MB
Licensemit
AccessOpen weights
Monthly Downloads—
Model Card
By Benjamin Woo, published under mit, revision ebe707e8c123.
Networks for Hivemind, a UCI engine for Bughouse chess, trained to play on real clocks. The TwinBoard-S networks learned bughouse with a single time-advantage bit: one team may sit (wait instead of moving) for the whole game. This lineage continues from the last of them and learns from self-play on a simulated clock instead, where a team may sit only while it actually leads, and every action it takes while on turn on both boards costs it its own move time. Same TwinBoardNet (twin-s, no attention) as the TwinBoard-S networks, reading 39 planes per board (78 in all): the 37 planes of input representation version 3, plus two clock planes that both boards carry with the same values, from the…
Read Benjamin Woo's full model card
Hivemind — Bughouse TwinBoard-S, clock lineage
Networks for Hivemind, a UCI engine for Bughouse chess, trained to play on real clocks.
The TwinBoard-S networks learned bughouse with a single time-advantage bit: one team may sit (wait instead of moving) for the whole game. This lineage continues from the last of them and learns from self-play on a simulated clock instead, where a team may sit only while it actually leads, and every action it takes while on turn on both boards costs it its own move time.
Files
| File | Purpose |
|---|---|
twin-s-clock.onnx |
Latest promoted network — use this one |
twin-s-clock.pt |
Its training checkpoint |
twin-s-clock-itN.onnx / .pt |
Every RL iteration's network and checkpoint, promoted or not |
twin-s-clock-it0.onnx / .pt |
The starting point: twin-s-noattn iteration 10, before any clock training |
Clock inputs
Same TwinBoardNet (twin-s, no attention) as the TwinBoard-S networks, reading 39 planes per board
(78 in all): the 37 planes of input representation version 3, plus two clock planes that both boards carry
with the same values, from the point of view of the team to move:
| Plane | Value |
|---|---|
| Lead | sign(lead) · min(1, log2(1 + n) / 10), where n = |lead| / the leading team's move time — how many actions the leader can afford to wait |
| Speed | log2(own move time / opponents' move time) / 5, clamped to ±1 |
Iteration 0 reads only the 37 version-3 planes; the engine drops the clock planes for it. Training widens its first layer with zero weights for the two new planes, so iteration 1 starts out computing exactly what iteration 0 does.
Search with the clock model so the network gets real clock inputs:
setoption name TimeModel value clock
setoption name TimeLeadMs value 4200 # our lead over the diagonal opponents
setoption name TeamMoveTimeMs value 2300 # what one of our actions costs our clock
setoption name OpponentMoveTimeMs value 1500
Do not use iteration 0, or any earlier TwinBoard-S network, with TimeModel clock: they read the lead as a
permanent right to sit, and their evaluation jumps by about 26 pawns as the lead crosses zero.
Results
| Iteration | Training | Match |
|---|---|---|
| 1 | 60,000 clock self-play games (4.25 M positions) by iteration 0, 6,226 steps from iteration 0 | 140–58–2 (70.5 %, +151 Elo, 95 % CI +109 to +199) vs iteration 0 searching on the binary time advantage taken from the real clock, 200 games, 200 ms per move, simulated clock |
Matches are played in colour-swapped pairs that share the opening, the starting lead and both teams' simulated move times (0.1–3 s per action). Iteration 1 won about 70 % whether it started ahead, behind or level on the clock.
Identity and Version
- Repository
- aminwoo/bughouse-twin-s-clock
- Publisher
- Benjamin Woo
- Task
- Reinforcement learning
- Modality
- Control
- Library
- Not stated by the source
- Parameters
- Not stated by the source
- Languages
- Not stated by the source
- Revision
- ebe707e8c123d8a41918ec4602f0ff36bf9acc3f
- First published
- 2026-10-13
- Last updated
- 2026-10-17
Files and Weights
14 files, 42.2 MB in total. The weights are 12 files totalling 42.2 MB in onnx, pt.
Weights12 files · 42.2 MB
Documentation1 file · 3.1 KB
Repository1 file · 1.5 KB
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| twin-s-clock-it0.onnx | Weights | 2.0 MB | 00e7b2f2d3c9 |
| twin-s-clock-it0.pt | Weights | 5.0 MB | e81186f23264 |
| twin-s-clock-it1.onnx | Weights | 2.0 MB | 0496ab067ba7 |
| twin-s-clock-it1.pt | Weights | 5.1 MB | af5c4106111d |
| twin-s-clock-it2.onnx | Weights | 2.0 MB | f751f611cd32 |
| twin-s-clock-it2.pt | Weights | 5.1 MB | df07fe70d91e |
| twin-s-clock-it3.onnx | Weights | 2.0 MB | 6b34125d0e12 |
| twin-s-clock-it3.pt | Weights | 5.1 MB | 02634c2ba50c |
| twin-s-clock-it4.onnx | Weights | 2.0 MB | 61515b5bfe80 |
| twin-s-clock-it4.pt | Weights | 5.1 MB | 7a41c14882f0 |
| twin-s-clock.onnx | Weights | 2.0 MB | 61515b5bfe80 |
| twin-s-clock.pt | Weights | 5.1 MB | 7a41c14882f0 |
| README.md | Documentation | 3.1 KB | — |
| .gitattributes | Repository | 1.5 KB | — |
License and Download
- License
- mit
- Access
- Open weights, no gate
- Download size
- 42.2 MB
Download from Benjamin Woo
Released by Benjamin Woo through its official repository on Hugging Face. Read the license.
Memory Requirements
| Precision | Weights in memory |
|---|---|
| As published | 42.2 MB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.
Questions About bughouse-twin-s-clock
Can I use bughouse-twin-s-clock commercially?
Yes. bughouse-twin-s-clock is released under MIT License. The MIT License is a short permissive license. It permits commercial use, modification and redistribution, provided the copyright notice and permission notice are included.
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