Feel free to contribute. The development on such projects is more awesome in a community!
- Implements a full-stack neural-network based machine learning framework
- Extended reinforcement-learning support
- Uniform and prioritised replay buffers
- Advantage-learning (increasing the action-gap) https://arxiv.org/pdf/1512.04860v1.pdf
- Support for deep-q-networks and actor-critic models (via deep-deterministic-policy-gradients)
- Binary import and export of network configurations (weights etc.)
Running the examples
npm install npm start
http://localhost:8080/examples/ in your browser and select the demo you want to run.
- More examples (pong, pendulum, snake,improved cars, etc.)
- Support for web workers
- LSTM and backpropagation through time