Reinforcement-Learning

Théberge et al reviews what’s been done to this day in tractography using reinforcement learning, listing what works best and what doesn’t work.

An attempt to test state-of-the-art reinforcement learning algorithms in a multi-agent cooperative and competitive setting using ML Agents SoccerTwos.

An Open Source framework to train reinforcement learning agents on the Tetris NES environment 100% written in Julia.