Battle
This environment is part of the magent environments. Please read that page first for general information.
| Name | Value |
|---|---|
| Actions | Discrete |
| Agents | 162 |
| Parallel API | True |
| Manual Control | No |
| Action Shape | (21) |
| Action Values | Discrete(21) |
| Observation Shape | (13,13,41) |
| Observation Values | [0,2] |
| Import | pettingzoo.magent import battle_v1 |
| Agents | agents= [red_[0-80], blue_[0-80]] |
Agent Environment Cycle
Battle
A large-scale team battle.
Like all MAgent environments, agents can either move or attack each turn. An attack against another agent on their own team will not be registered.
Action options: [do_nothing, move_12, attack_8]
Reward is given as:
- 5 reward for killing an opponent
- -0.005 reward every step (step_reward option)
- -0.1 reward for attacking (attack_penalty option)
- 0.2 reward for attacking an opponent (attack_opponent_reward option)
- -0.1 reward for dying (dead_penalty option)
If multiple options apply, rewards are added together.
Observation space: [empty, obstacle, red, blue, minimap_red, minimap_blue, binary_agent_id(10), one_hot_action, last_reward, agent_position]
Map size: 45x45
Arguments
battle_v1.env(step_reward-0.005, dead_penalty=-0.1, attack_penalty=-0.1, attack_opponent_reward=0.2, max_frames=1000)
step_reward: reward added unconditionally
dead_penalty: reward added when killed
attack_penalty: reward added for attacking
attack_opponent_reward: Reward added for attacking an opponent
max_frames: number of frames (a step for each agent) until game terminates