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The StarCraft Multi-Agent Challenge (SMAC) is a benchmark that provides elements of partial observability, challenging dynamics, and high-dimensional observation spaces. SMAC is built using the StarCraft II game engine, creating a testbed for research in cooperative MARL where each game unit is an independent RL agent.

SMACv2 (StarCraft Multi-Agent Challenge v2) is a new version of the benchmark where scenarios are procedurally generated and require agents to generalise to previously unseen settings (from the same distribution) during evaluation. Source: SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning Image Source: https://github.com/oxwhirl/smacv2

The StarCraft Multi-Agent Challenges+ requires agents to learn completion of multi-stage tasks and usage of environmental factors without precise reward functions. The previous challenges (SMAC) recognized as a standard benchmark of Multi-Agent Reinforcement Learning are mainly concerned with ensuring that all agents cooperatively eliminate approaching adversaries only through fine manipulation with obvious reward functions. This challenge, on the other hand, is interested in the exploration capability of MARL algorithms to efficiently learn implicit multi-stage tasks and environmental factors as well as micro-control. This study covers both offensive and defensive scenarios. In the offensive scenarios, agents must learn to first find opponents and then eliminate them. The defensive scenarios require agents to use topographic features. For example, agents need to position themselves behind protective structures to make it harder for enemies to attack.

smac+ defense infantry scenario with parallel episodic buffer

smac+ defense armored scenario with parallel episodic buffer

smac+ defense outnumbered scenario with parallel episodic buffer

smac+ offensive hard scenario with 20 parallel episodic buffer.

smac+ offensive scenario with 20 parallel episodic buffer.

smac+ offensive complicated scenario with 20 parallel episodic buffer.

SMAC+ offense distant scenario.

smac+ offensive near scenario with 20 parallel episodic buffer

SMAC+ defensive infantry scenario with sequential episodic buffer