Improving Model-Based Reinforcement Learning with Internal State Representations through Self-Supervision

1 code implementation • 10 Feb 2021 • Julien Scholz, Cornelius Weber, Muhammad Burhan Hafez, Stefan Wermter

Using a model of the environment, reinforcement learning agents can plan their future moves and achieve superhuman performance in board games like Chess, Shogi, and Go, while remaining relatively sample-efficient.

Board Games Model-based Reinforcement Learning +3