Planning with Pixels in (Almost) Real Time

Understand

Recently, width-based planning methods have been shown to yield state-of-the-art results in the Atari 2600 video games.

• For this, the states were associated with the (RAM) memory states of the simulator.
• In this work, we consider the same planning problem but using the screen instead.
• By using the same visual inputs, the planning results can be compared with those of humans and learning methods.