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DARS: Dynamic Action Re-Sampling to Enhance Coding Agent Performance by Adaptive Tree Traversal
The main features of vaibhavagg303/dars-agent are: Policy Optimization.
Projects with overlapping indexed features include: trademaster-ntu/trademaster — TradeMaster is a reinforcement learning trading framework and algorithmic trading simulator designed for designing and… chenxinan-fdu/polaris — 🌠 A PO st-training recipe for scaling R L on A dvanced R eason I ng model S 🚀. liaomengqi/e3-rl4llms — [25/08/20] : Aceept as EMNLP 2025 Main Conference paper. multimodal-art-projection/treepo — This is the official implementation of TreePO algorithm. netease-youdao/confucius3-math — 💜 Confucius Demo | 🤗 Hugging Face | 🤖 ModelScope |… chanliang/eepo.
TradeMaster is a reinforcement learning trading framework and algorithmic trading simulator designed for designing and testing quantitative trading strategies. The system provides a platform for developing reinforcement learning agents, managing quantitative portfolios, and optimizing trade execution using financial market data. The project features specialized components for multi-modality data preprocessing, a high-fidelity market environment simulation for strategy backtesting, and a quantitative portfolio manager for capital reallocation across multiple assets. It includes a trade executi
🌠 A PO st-training recipe for scaling R L on A dvanced R eason I ng model S 🚀
25/08/20 : Aceept as EMNLP 2025 Main Conference paper
