README.md
- 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.)
- High-performance
Feel free to contribute. I appreciate any support, because frankly this is a big project to maintain!
Examples
Blog post
I wrote a blog post about this framework with an interactive car-demo embeded on my blog, check it out!
Future
- Support for web workers
- LSTM and backpropagation through time