A CNN-based network that uses the ANDHRA module to split the network into multiple parallel branches, leading to multiple network outputs. For a network with three ANDHRA modules with a branching factor of two, the total output heads are 2ˆ3 = 8.

**Blue River Controls** is a tool that allows users to train and test reinforcement learning algorithms on real-world hardware. It features a simple interface based on OpenAI Gym, that works directly on both simulation and hardware.

Blue River Controls

Blue River Controls: A toolkit for Reinforcement Learning Control Systems on Hardware

ABNet

ANDHRA Bandersnatch: Training Neural Networks to Predict Parallel Realities

Based on detrended cross-correlation analysis (DCCA), this method is improved by including partial-correlation technique, which can be applied to quantify the relations of two non-stationary signals (with influences of other signals removed) on different time scales.

Source	ANDHRA Bandersnatch: Training Neural Networks to Predict Parallel Realities
Year
Data Source	Papers with Code archive (CC BY-SA)