(Object/Face Detection/Tracking/Segmentation)
- Collect-annotate(CVAT)/convert dataset
- Design/import(ONNX) model structure
- Train/load-finetune weights of model
- Predict/Inference input data
- https://github.com/yunjhongwu/burn-rl-examples
- https://github.com/benbaarber/rl
- https://github.com/vwxyzjn/cleanrl
- https://github.com/laboroai/border
- https://github.com/Farama-Foundation/Gymnasium
- https://en.wikipedia.org/wiki/Deep_reinforcement_learning
- https://web.stanford.edu/class/psych209/Readings/SuttonBartoIPRLBook2ndEd.pdf
- https://www.geeksforgeeks.org/a-beginners-guide-to-deep-reinforcement-learning/
- https://github.com/analoganddigital/DQN_play_sekiro
- https://github.com/BAAI-Agents/GPA-LM
- https://github.com/ocram444/EldenRL
- https://github.com/d2l-ai/d2l-zh
- https://en.wikipedia.org/wiki/Deep_learning
- https://www.simplilearn.com/tutorials/deep-learning-tutorial/neural-network
- https://www.simplilearn.com/tutorials/deep-learning-tutorial/deep-learning-algorithm
- https://github.com/tracel-ai/models
- https://github.com/onnx/models
- https://netron.app