Reinforcement Learning Frameworks – An Overview

Falk Pollok, MIT-IBM Watson AI Lab Cambridge, USA Abstract Reinforcement Learning (RL) has seen renewed interest sparked by the successful combination of RL with neural models as well as Monte-Carlo Tree Search (MCTS). At first, this development was largely restricted to playing traditional games and video games, but successively one can observe more widespread usage in industry as well from robotics … More Reinforcement Learning Frameworks – An Overview