This environment is part of the mpe environments. Please read that page first for general information.
Name | Value |
---|---|
Actions | Discrete |
Agents | 1 |
Parallel API | Yes |
Manual Control | No |
Action Shape | (5) |
Action Values | Discrete(5) |
Observation Shape | (4) |
Observation Values | (-inf,inf) |
Import | from pettingzoo.mpe import simple_v2 |
Agents | agents= [agent_0] |
In this environment a single agent sees a landmark position and is rewarded based on how close it gets to the landmark (Euclidian distance). This is not a multiagent environment, and is primarily intended for debugging purposes.
Observation space: [self_vel, landmark_rel_position]
simple.env(max_cycles=25)
max_cycles
: number of frames (a step for each agent) until game terminates