q - Run SQL directly on delimited files and multi-file sqlite databases
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Updated
May 27, 2025 - Python
q - Run SQL directly on delimited files and multi-file sqlite databases
Lane keeping assistant using Reinforcement learning
stores market data from cryptofeed to kdb+
Deep Reinforcement Learning navigation of autonomous vehicles. Implementation of deep-Q learning, dyna-Q learning, Q-learning agents including SSMR(Skid-steering_mobile robot) Kinematics in various OpenAi gym environments
Deep Q Network with TensorFlow, used to solve CartPole environment from Gym.
A real-time financial assistant that combines market data, news, and SEC filings using Retrieval-Augmented Generation (RAG). Built with Python, KDB.AI Cloud for vector search, and HuggingFace embeddings. Ideal for research, trading insights, or fintech prototyping.
Dueling DQN agents in Pong game. Pong game written by @bearpaw7
強化學習-以Q學習法 進行小老鼠走迷宮的實驗
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