Reinforcement Learning
Reinforcement-Learning-for-Gold-Trading-ModelMulti-Agent_Reinforcement_Learning_Trading_System_ModelsHuggingFace_ReinforcementLearningDeep-Reinforcement-Learning_Unit_7_poca-SoccerTwosreinforcement-learningDeep-Reinforcement-Learning_Unit_5_SnowballTarget1reinforcement-learningDeep-Reinforcement-Learning_Unit_5_Pyramids-v1
Multi-Agent_Reinforcement_Learning_Trading_System_Data
📊 Multi-Agent RL Trading System - Dataset
This dataset contains historical OHLCV (Open, High, Low, Close, Volume) data for AAPL, MSFT, and GOOGL, pre-processed for Reinforcement Learning based trading systems.
📁 Dataset Content
The dataset consists of CSV files downloaded via yfinance:
AAPL.csv: Apple Inc. daily data (Jan 2018 - Dec 2024).
MSFT.csv: Microsoft Corp. daily data (Jan 2018 - Dec 2024).
GOOGL.csv: Alphabet Inc. daily data (Jan 2018 - Dec 2024).
📝… See the full description on the dataset page: https://huggingface.co/datasets/AdityaaXD/Multi-Agent_Reinforcement_Learning_Trading_System_Data.Multi-Agent_Reinforcement_Learning_Trading_System_Data
📊 Multi-Agent RL Trading System - Dataset
This dataset contains historical OHLCV (Open, High, Low, Close, Volume) data for AAPL, MSFT, and GOOGL, pre-processed for Reinforcement Learning based trading systems.
📁 Dataset Content
The dataset consists of CSV files downloaded via yfinance:
AAPL.csv: Apple Inc. daily data (Jan 2018 - Dec 2024).
MSFT.csv: Microsoft Corp. daily data (Jan 2018 - Dec 2024).
GOOGL.csv: Alphabet Inc. daily data (Jan 2018 - Dec 2024).… See the full description on the dataset page: https://huggingface.co/datasets/sanjaydoss/Multi-Agent_Reinforcement_Learning_Trading_System_Data.repro-contextual-rollout-bandits-for-reinforcement-learning-with-verifiable-rewards-artifacts
Reproduction: Contextual Rollout Bandits for RLVR (ICML 2026, #985)
Independent reproduction of "Contextual Rollout Bandits for Reinforcement Learning
with Verifiable Rewards" (Lu, Wang, Chai, Yin, Lin, Chen, Luo, Zhuang, Ban, Wang) —
OpenReview weMYE1B16x,
arXiv 2602.08499.
Part of the Hugging Face × AlphaXiv ICML-2026 reproduction challenge.
Official code: github.com/lxd99/CBS_public (verl 0.5.x fork).
What CBS is
The paper reframes rollout scheduling in RLVR as… See the full description on the dataset page: https://huggingface.co/datasets/debajyotidasgupta/repro-contextual-rollout-bandits-for-reinforcement-learning-with-verifiable-rewards-artifacts.NFA_OCR_reinforcement_learning_format_TEST5reinforcement-learningcomputer_agent_reinforcement_learning_trajectory_seagent_ai_assistant_tools_agent_mcp
