✨GrandCode: Achieving Grandmaster Level in Competitive Programming via Agentic Reinforcement Learning
📝 Summary:
GrandCode is a multi-agent reinforcement learning system that achieves grandmaster level in competitive programming. It orchestrates specialized agent modules and uses novel reward optimization techniques. GrandCode consistently beat all human participants, including legendary grandmasters, in li...
🔹 Publication Date: Published on Apr 3
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2604.02721
• PDF: https://arxiv.org/pdf/2604.02721
• Project Page: https://deep-reinforce.com/cp.html
• Github: https://github.com/deepreinforce-ai/codeforces
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For more data science resources:
✓ https://xn--r1a.website/DataScienceT
#ReinforcementLearning #CompetitiveProgramming #AI #MultiAgentSystems #DeepLearning
📝 Summary:
GrandCode is a multi-agent reinforcement learning system that achieves grandmaster level in competitive programming. It orchestrates specialized agent modules and uses novel reward optimization techniques. GrandCode consistently beat all human participants, including legendary grandmasters, in li...
🔹 Publication Date: Published on Apr 3
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2604.02721
• PDF: https://arxiv.org/pdf/2604.02721
• Project Page: https://deep-reinforce.com/cp.html
• Github: https://github.com/deepreinforce-ai/codeforces
==================================
For more data science resources:
✓ https://xn--r1a.website/DataScienceT
#ReinforcementLearning #CompetitiveProgramming #AI #MultiAgentSystems #DeepLearning
✨Self-Execution Simulation Improves Coding Models
📝 Summary:
This work trains code LLMs to simulate program execution step-by-step using fine-tuning and reinforcement learning. This enables self-verification and iterative self-fixing, significantly improving competitive programming performance and outperforming standard reasoning methods.
🔹 Publication Date: Published on Mar 11
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2604.03253
• PDF: https://arxiv.org/pdf/2604.03253
==================================
For more data science resources:
✓ https://xn--r1a.website/DataScienceT
#CodeLLMs #AI #ReinforcementLearning #DeepLearning #CompetitiveProgramming
📝 Summary:
This work trains code LLMs to simulate program execution step-by-step using fine-tuning and reinforcement learning. This enables self-verification and iterative self-fixing, significantly improving competitive programming performance and outperforming standard reasoning methods.
🔹 Publication Date: Published on Mar 11
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2604.03253
• PDF: https://arxiv.org/pdf/2604.03253
==================================
For more data science resources:
✓ https://xn--r1a.website/DataScienceT
#CodeLLMs #AI #ReinforcementLearning #DeepLearning #CompetitiveProgramming