environment gif

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]

Agent Environment Cycle

environment aec diagram


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]



max_cycles: number of frames (a step for each agent) until game terminates