Atari Freeway Environment
One or two players control chickens who can be made to run across a ten lane highway filled with traffic in an effort to “get to the other side.” Every time a chicken gets across a point is earned for that player. If hit by a car, a chicken is forced back either slightly, or pushed back to the bottom of the screen, depending on what difficulty the switch is set to. The winner of a two player game is the player who has scored the most points in the two minutes, sixteen seconds allotted. The chickens are only allowed to move up or down. A cluck sound is heard when a chicken is struck by a car.
Description from Wikipedia
Performances of RL Agents
We list various reinforcement learning algorithms that were tested in this environment. These results are from RL Database. If this page was helpful, please consider giving a star!
|32.5||PPO||Proximal Policy Optimization Algorithm|
|0.0||A2C||Proximal Policy Optimization Algorithm|
|0.0||ACER||Proximal Policy Optimization Algorithm|