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
connectailab-rl-onetbrain-v2-teacher
by 해빙1004 onethingtree/connectailab-rl-onetbrain-v2-teacher
connectailab-rl-onetbrain-v2-teacher is an open-weight model for reinforcement learning from 해빙1004, released under Apache License 2.0. Its published files total 85.8 KB.
개발자 CONNECT TYCOON · 회사의 가치 {"이익": 1.0, "고객 만족": 1.0, "위험": 1.0} 판단하고, 모든 판단을 JEV(typesafe/jev-1.13)와 같은 형식으로 답합니다. 규칙 사장을 먼저 따라 배우고(지도학습), 회사의 가치로 받은 보상으로 판단을 고쳤습니다(PPO).
Model Card
By 해빙1004, published under apache-2.0, revision 53ab5e91a0c1.
개발자 CONNECT TYCOON · 회사의 가치 {"이익": 1.0, "고객 만족": 1.0, "위험": 1.0} 판단하고, 모든 판단을 JEV(typesafe/jev-1.13)와 같은 형식으로 답합니다. 규칙 사장을 먼저 따라 배우고(지도학습), 회사의 가치로 받은 보상으로 판단을 고쳤습니다(PPO). 회사 규모(config): {"warehouse": 250.0, "basedemand": 40.0, "unitcost": 1.5, "orderscale": 1.0, "staffbonus": 0, "wage": 0.0, "adpower": 1.0, "fraudtool": 0, "extracs": 0, "extrarefund": 0} AI 교육 브랜드 · Transforming Lives Through AI Education - CONNECT
Read 해빙1004's full model card
connect-ai-company-v2 · AI 사장 (CONNECT TYCOON)
개발자 CONNECT TYCOON · 회사의 가치 {"이익": 1.0, "고객 만족": 1.0, "위험": 1.0}
CONNECT TYCOON의 회사를 한 달(영업일 20일) 동안 운영하는 전전두엽입니다.
인력 배치 · 재고 발주 · 마케팅 · 고객센터 · 환불 · 보안을 판단하고, 모든 판단을 JEV(typesafe/jev-1.13)와 같은 형식으로 답합니다.
규칙 사장을 먼저 따라 배우고(지도학습), 회사의 가치로 받은 보상으로 판단을 고쳤습니다(PPO).
| 처음 보는 40개월 평균 | 한 달 이익 | 고객 만족 | 위험 사고 | 사람 확인 초과 | 품절일 |
|---|---|---|---|---|---|
| 규칙 사장 | 324만원 | 79% | 7.8건 | 37.8건 | 10.7일 |
| connect-ai-company-v2 | 1142만원 | 96% | 1.6건 | 17.2건 | 0.4일 |
회사 규모(config): {"warehouse": 250.0, "base_demand": 40.0, "unit_cost": 1.5, "order_scale": 1.0, "staff_bonus": 0, "wage": 0.0, "ad_power": 1.0, "fraud_tool": 0, "extra_cs": 0, "extra_refund": 0}
시뮬레이터 속 회사 · 맨 위층의 모델이 판단하면 빛줄기가 그 층으로 내려가고, 결과가 돈 · 만족 · 사고로 돌아옵니다
JEV로 묻고 답하기
import connect_tycoon as ct
brain = ct.CompanyBrain.from_hub("onethingtree/connectailab-rl-onetbrain-v2-teacher")
brain({"model": "typesafe/jev-1.13", "state": {"department": "refund", "reason": "미배송", "tier": "단골", "amount": 8.7, "fraud_score": 0.31461497442796826}, "questions": {"decision": {"type": "choice", "instructions": "환불 요청을 어떻게 처리할지 고르세요. 악용이면 돈을 잃고, 정상 고객을 거절하면 만족이 떨어집니다. 회사의 가치 — 이익 1 · 고객 만족 1 · 위험 회피 1.", "criteria": {"full": "전액 환불", "partial": "부분 환불 (절반)", "deny": "거절", "human": "사람 확인 · 악용이면 사람이 거절합니다 · 건당 0.8만원"}}}})
{
"model": "connect-company/connect-ai-company-v2",
"answers": {
"decision": {
"type": "choice",
"choice": "full",
"probabilities": {
"full": 0.9609,
"partial": 0.0004,
"deny": 0.0003,
"human": 0.0384
},
"confidence": 0.9609,
"reason": "강화학습 정책"
}
}
}
게임에서 사장으로 앉히기
pip install "connect-tycoon[game]"
connect-tycoon play --brain hf:onethingtree/connectailab-rl-onetbrain-v2-teacher
만든 곳 · CONNECT AI LAB × AI CITY BUILDERS
AI 교육 브랜드 · Transforming Lives Through AI Education
- CONNECT AI LAB 유튜브 · AI 1인 기업 · 로컬 AI · 강화학습 · JEV 무료 강의
- AI CITY BUILDERS · AI 비즈니스의 정석 · 강화학습 AI 과정
- Connect AI · 기업 의사결정 모델 C1 공동 연구 · 모델 연결은 테스트 중
합성 회사 시뮬레이터 위의 교육용 모형입니다. 실제 경영 성과를 보장하거나 예측하지 않습니다.
Identity and Version
- Repository
- onethingtree/connectailab-rl-onetbrain-v2-teacher
- Publisher
- 해빙1004
- Task
- Reinforcement learning
- Modality
- Control
- Library
- numpy
- Parameters
- Not stated by the source
- Languages
- ko
- Revision
- 53ab5e91a0c1806f85435e0e78a848e872f475ff
- First published
- 2026-10-16
- Last updated
- 2026-10-16
Files and Weights
3 files, 85.8 KB in total.
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| brain.json | Configuration | 79.3 KB | — |
| README.md | Documentation | 5.0 KB | — |
| .gitattributes | Repository | 1.5 KB | — |
License and Download
- License
- apache-2.0
- Access
- Open weights, no gate
Released by 해빙1004 through its official repository on Hugging Face. Read the license.
Questions About connectailab-rl-onetbrain-v2-teacher
Can I use connectailab-rl-onetbrain-v2-teacher commercially?
Yes. connectailab-rl-onetbrain-v2-teacher is released under Apache License 2.0. The Apache License 2.0 is a permissive open-source license. It permits commercial use, modification and redistribution. It requires keeping the license and copyright notices and any NOTICE file, stating significant changes, and it includes an express patent grant from contributors.
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