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

Julien Scholz, Cornelius Weber, Muhammad Burhan Hafez +1

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 remai…