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Doctor-R1

thu-unicorn•PUBLIC

This is the official repository for our paper "Doctor-R1: Mastering Clinical Inquiry with Experiential Agentic Reinforcement Learning" published in ICRL 2026.

agentic-rlexperiencemedical-ai

MIT License

Created on Sep 25, 2025

Updated on Apr 5, 2026

Stars

28

Forks

1

Watchers

28

Open Issues

3

Repository Health Score

🧡

60/100

Fair

Overall repository health assessment

Score Breakdown

Activity

Active development - updated this week

30/30

100%

Community

28 stars, 1 forks

0/30

0%

Documentation

Has description, wiki, license

20/20

100%

Maintenance

10.7% issue ratio

10/20

50%

Health score is calculated based on activity, community engagement, documentation quality, and maintenance practices

Languages

Python

97.5%

Shell

2.5%

Issues Analytics

4

Total Issues

All time

3

Open

75% of total

1

Closed

25% of total

4w

Avg Close Time

Avg response

Issues Activity: Last 6 months

Hottest Issues

1

#3 Request for data sample format (train/valid.jsonl)

1

open

2

#2 where is the training and evaluation data?

1

closed

3

#1 Reranker Used in Doctor-R1

1

open

4

#4 The reward implementation is inconsistent with the description in the paper.

0

open

Dependencies

No package.json found

This might not be a Node.js project

Top Contributors

1

thu-unicorn

User

31

commits

Recent Commits

Update README.md

Olivia•2 weeks ago

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Create doctor_reward_v2.py

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Update run_doctor_multirollout.sh

Olivia•3 months ago

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updates

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Olivia•4 months ago

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