Owner
OpenPipe
2 indexed repositories · View on GitHub
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ART
Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement...
Python · 10758 stars
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art-notebooks
Notebooks to demonstrate ART (Agent Reinforcement Trainer) in practice!
Shell · 11 stars
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enhancement
Difficulty 4/5 3-5 days Newbie friendliness 48/100
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Difficulty 5/5 Over a week Newbie friendliness 35/100
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Difficulty 5/5 Over a week Newbie friendliness 35/100
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Investigate output and gradient variability between matched same-source Qwen TrainerRank actors Open
Difficulty 5/5 Over a week Newbie friendliness 25/100
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Difficulty 5/5 Over a week Newbie friendliness 20/100
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Difficulty 5/5 Over a week Newbie friendliness 25/100
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Difficulty 5/5 Over a week Newbie friendliness 30/100
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Determine whether a large dynamics RL batch refusal is necessary or avoidable by execution layout Open
Difficulty 5/5 Over a week Newbie friendliness 25/100
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Difficulty 4/5 3-5 days Newbie friendliness 48/100
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Difficulty 5/5 Over a week Newbie friendliness 20/100
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Difficulty 4/5 3-5 days Newbie friendliness 50/100
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bug
Difficulty 5/5 Over a week Newbie friendliness 35/100
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Difficulty 3/5 1-2 days Newbie friendliness 62/100
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Difficulty 4/5 3-5 days Newbie friendliness 55/100
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Difficulty 2/5 1-3 hours Newbie friendliness 72/100
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auto_rl example uses Open
Difficulty 3/5 1-2 days Newbie friendliness 56/100
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Difficulty 4/5 3-5 days Newbie friendliness 48/100
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Difficulty 3/5 1-2 days Newbie friendliness 52/100
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Difficulty 4/5 3-5 days Newbie friendliness 25/100
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question
Difficulty 3/5 1-2 days Newbie friendliness 42/100
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discussion
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W&B offline Openquestion
Difficulty 5/5 Over a week Newbie friendliness 25/100
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bug
Difficulty 5/5 Over a week Newbie friendliness 25/100
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bug
Difficulty 5/5 Over a week Newbie friendliness 25/100
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bug
Difficulty 4/5 3-5 days Newbie friendliness 35/100
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bug
Difficulty 5/5 Over a week Newbie friendliness 25/100
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bug
Difficulty 4/5 3-5 days Newbie friendliness 35/100
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bug
Difficulty 4/5 3-5 days Newbie friendliness 35/100
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question
Difficulty 5/5 Over a week Newbie friendliness 25/100
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bug
Difficulty 4/5 3-5 days Newbie friendliness 25/100
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Difficulty 3/5 1-2 days Newbie friendliness 25/100
OpenPipe/art-notebooks#12 ·
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bug
Difficulty 4/5 3-5 days Newbie friendliness 25/100
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Cuda out of Memory Openquestion
Difficulty 4/5 3-5 days Newbie friendliness 25/100
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question
Difficulty 5/5 Over a week Newbie friendliness 20/100
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bug
Difficulty 4/5 3-5 days Newbie friendliness 35/100
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bug
Difficulty 4/5 3-5 days Newbie friendliness 25/100
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Minio Support Openenhancement
Difficulty 3/5 1-2 days Newbie friendliness 45/100
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Why Do Results from MCP-Trained Models Differ Greatly Between generate_benchmarks.py and train.py Openquestion
Difficulty 4/5 3-5 days Newbie friendliness 32/100
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bug
Difficulty 4/5 3-5 days Newbie friendliness 25/100
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bug
Difficulty 3/5 1-2 days Newbie friendliness 35/100
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enhancement
Difficulty 3/5 1-2 days Newbie friendliness 45/100
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bug
Difficulty 5/5 Over a week Newbie friendliness 25/100
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bug
Difficulty 4/5 3-5 days Newbie friendliness 25/100
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enhancement
Difficulty 4/5 3-5 days Newbie friendliness 35/100
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About appropriate groups_per_step parameter setting given training and validation dataset volume Openquestion
Difficulty 5/5 Over a week Newbie friendliness 20/100
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enhancement
Difficulty 4/5 3-5 days Newbie friendliness 42/100
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question
Difficulty 4/5 3-5 days Newbie friendliness 25/100
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bug
Difficulty 4/5 3-5 days Newbie friendliness 25/100
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enhancement
Difficulty 4/5 3-5 days Newbie friendliness 35/100
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enhancement
Difficulty 2/5 1-3 hours Newbie friendliness 52/100